::Publications::
Year : [2024] [2023]  [2022]  [2021] [2020]  [2019]  [2018] [2017] [2016] [2015] [2014] [2013] [2012] [2011] [2010] [2009] [2008] [2007] [2006] [2005] [2004][2003]

 

[2020]
  1. Chunlei Peng, Nannan Wang, Jie Li, Xinbo Gao. Face Sketch Synthesis in the Wild via Deep Patch Representation based Probabilistic Graphical Model. IEEE Trans. on Information Forensics & Security (IEEE TIFS), Vol.15, No.1, pp.172-183, 2020. 

  2. Zhonggui Sun, Bo Han, Jie Li, Jin Zhang, Xinbo Gao*. Weighted Guided Image Filtering with Steering Kernel. IEEE Trans. on Image Processing (IEEE TIP), Vol.29, pp.500-508, 2020. 

  3. Yu Zheng, Jianping Fan, Ji Zhang, and Xinbo Gao. Exploiting Related and Unrelated Tasks for Hierarchical Metric Learning and Image Classification. IEEE Transactions on Image Processing (IEEE TIP), Vol.29, No.1, pp.883-896, 2020. 

  4. Mingjin Zhang, Yunsong Li, Nannan Wang, Chi Yuang, Xinbo Gao. Cascaded Face Sketch Synthesis under Various Illuminations. IEEE Transactions on Image Processing (IEEE TIP), Vol.29, No.1, pp.1507-1521, 2020.

  5. Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao. Label-activating Framework for Zero-shot Learning. Neural Networks, Vol.121, pp.1-9, 2020.

  6. Deyan Xie, Quanxue Gao, Qianqian Wang. Xiangdong Zhang, Xinbo Gao. Adaptive Latent Similarity Learning for Multi-view Clustering. Neural Networks, Vol.121, pp.409-418, 2020. 

  7. Yiyuan Han, Bing Han, Zejun Hu, Xinbo Gao, Lixia Zhang, Huigen Yang, and Bin Li. Prediction and Variation of the Auroral Oval Boundary Based on a Deep Learning Model and Space Physical Parameters. Nonlinear Processes in Geophysics, Vol.27, pp.11–22, 2020.

  8. Xuetong Xue, Ying Wang, Jie Li, Zhicheng Jiao, Ziqi Ren, and Xinbo Gao. Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), Vol.24, No.2, pp.377-385, 2020. 

  9. Chao Pan*, Cheng Shi, Honglang Mu, Jie Li, Xinbo Gao. EEG-based Emotion Recognition Using Logistic Regression with Gaussian Kernel and Laplacian Prior and Investigation of Critical Frequency Bands. Applied Sciences, Vol.10, No.1619, pp.1-24, 2020.

  10. Wenliang Qiu, Xinbo Gao, Bing Han. Saliency Detection via Deep Conditional Random Field Network. Pattern Recognition, Vol.103, pp.1-13, 2020.

  11. Yingzhi Tang, Xi Yang, Nannan Wang, Bin Song, and Xinbo Gao. Person Re-Identification with Feature Pyramid Optimization and Gradual Background Suppression. Neural Networks, Vol.124, pp.223-232, 2020. 

  12. Jie Zhong, Ying Wang, Jie Li, Xuetong Xue, Simin Liu, Miaomiao Wang, Xinbo Gao, Quan Wang, Jian Yang, Xianjun Li. Inter-site harmonization based on dual generative adversarial networks for diffusion tensor imaging: Application to neonatal white matter development. BioMedical Engineering Online, Vol.19,No.4, pp.1-18. 2020.

  13. Xi Yang, Xinbo Gao. Aurora Image Search with a Saliency-Weighted Region Network. IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), Vol.58, No.4, pp.2630-2643, 2020. 

  14. Fei Zhou, Wenming Yang, Xinbo Gao, Hantao Liu, Rui Zhu, Jing-Hao Xue. Special Issue on Advances in Statistical Methods-based Visual Quality Assessment. Signal Processing: Image Communication, Vol.83, April 2020. 

  15. Mingjin Zhang, Nannan Wang, Yunsong Li, Xinbo Gao. Bionic Face Sketch Generator. IEEE Trans. on Cybernetics (IEEE TCyb), Vol.50, No.6, pp.2701-2714, 2020.

  16. Haojun Xu, Yan Gao, Jie Li, Xinbo Gao. CBFNet: Constraint Balance Factor for Semantic Segmentation. Neurocomputing, vol.397, pp.39-47, 2020. 

  17. Jun Yu, Yezhou Yang,Murtagh Fionn, Xinbo Gao. Fine-grained Visual Understanding and Reasoning. Neurocomputing, Vol.398, pp.408-410, 2020. 

  18. Zheng Hui, Xinbo Gao, Xiumei Wang. Lightweight Image Super-resolution with Feature Enhancement Residual Network. Neurocomputing, Vol.404, pp.50-60, 2020. 

  19. Dong Liang, Xinbo Gao, Wen Lu, Lihuo He. Deep Multi-label Learning for Image Distortion Identification. Signal Processing, Vol.172, pp.1-14, 2020. 

  20. Lin Qi, Jie Li, Ying Wang, Mingyu Lei, Xinbo Gao. Deep Spectral Convolution Network for Hyperspectral Image Unmixing with Spectral Library. Signal Processing, Vol.176, pp.107672: 1-9, 2020. 

  21. Zhuoqi Ma, Jie Li, Nannan Wang, Xinbo Gao. Image Style Transfer with Collection Representation Space and Semantic-guided Reconstruction. Neural Networks, Vol.129, pp.123-137, September 2020. 

  22. Yi Hao, Jie Li, Nannan Wang, Xinbo Gao. Modality adversarial neural network for visible-thermal person re-identification. Pattern Recognition, Vol.107, pp.107533:1-10, 2020. 

  23. Xi Yang, Tan Wu, Nannan Wang, Yan Huang, Bin Song, Xinbo Gao. HCNN-PSI: A Hybrid CNN with Partial Semantic Information for Space Target Recognition. Pattern Recognition, Vol.108, pp.107531:1-12, 2020. 

  24. Wenliang Qiu, Xinbo Gao, Bing Han. Video Saliency Detection via Pairwise Interaction. Chinese Journal of Electronics, Vol.29, No.3, pp.427-436, May 2020. 

  25. Xi Yang, Ziyu Wei, Nannan Wang, Bin Song, Xinbo Gao. A Novel Deformable Body Partition Model for MMW Suspicious Object Detection and Dynamic Tracking. Signal Processing, Vol.174, pp.107627: 1-14, 2020.

  26. Yingzhi Tang, Xi Yang, Nannan Wang, Bin Song, and Xinbo Gao. CGAN-TM: A Novel Domain-to-Domain Transferring Method for Person Re-Identification. IEEE Transactions on Image Processing, Vol.29, pp.5641-5651, 2020.  

  27. Di Wang, Quan Wang, Lihuo He, Xinbo Gao, Yumin Tian. Joint and Individual Matrix Factorization Hashing for Large-scale Cross-modal Retrieval. Pattern Recognition, Vol.107, pp.107479.1-12, 2020.

  28. Xi Yang, Haoyuan Guo, Nannan Wang, Bin Song, and Xinbo Gao*. A Novel Symmetry Driven Siamese Network for THz Concealed Object Verification. IEEE Transactions on Image Processing, Vol.29, pp.5447-5456, 2020.

  29. Lin Zhao, Jie Xu, Shanshan Zhang, Chen Gong, Jian Yang, Xinbo Gao. Perceiving Heavily Occluded Human Poses by Assigning Unbiased Score. Information Science, Vol.537, pp.284-301, 2020. 

  30. Qiangqiang Wu, Hanzi Wang, Yi Liu, Liming Zhang, and Xinbo Gao. SAT: Single-Shot Adversarial Tracker. IEEE Trans. on Industrial Electronics, Vol.67, No.11, pp.9882-9892, 2020.  

  31. Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu. Group Feedback Capsule Network. IEEE Transactions on Image Processing, vol. 29, pp. 6789-6799, 2020.

  32. Bing Han, Yunhao Wang, Zheng Yang, Xinbo Gao. Small-scale Pedestrian Detection Based on Deep Neural Network. IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol.21, No.7, pp.3046-3055, 2020.

  33. Mingjin Zhang, Nannan Wang, Yunsong Li, Xinbo Gao. Neural Probabilistic Graphical Model for Face Sketch Synthesis. IEEE Trans. on Neural Networks and Learning Systems (IEEE TNNLS), Vol.31, No.7, pp.2623-2637, 2020. 

  34. Fei Zhou, Wenming Yang, Xinbo Gao, Hantao Liu, Rui Zhu, Jing-Hao Xue. Special Issue on Advances in Statistical Methods-based Visual Quality Assessment. Signal Process. Image Commun. 83: 115695 (2020)  

  35. Xinrui Jiang, Nannan Wang, Jingwei Xin, Xi Yang, Yi Yu. Xinbo Gao. Image Super-Resolution via Multi-view Information Fusion Networks. Neurocomputing, 402: 29-37 (2020).

  36. Zhuoqi Ma, Jie Li, Nannan Wang, Xinbo Gao. Semantic-related image style transfer with dual-consistency loss. Neurocomputing 406: 135-149 (2020) 

  37. Yu Zheng, Qiuyu Chen, Jianping Fan, Xinbo Gao. Hierarchical convolutional neural network via hierarchical cluster validity based visual tree learning. Neurocomputing, Vol.409, pp.408-419, 2020. 

  38. Jiachen Yang, Jiabao Man, Meng Xi, Xinbo Gao, Wen Lu, Qinggang Meng. Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship. IEEE Trans. on Neural Networks and Learning Systems (IEEE TNNLS), Vol.31, No.6, pp.2030-2041, 2020.  

  39. Decheng Liu, Xinbo Gao, Nannan Wang, Chunlei Peng, Jie Li. Iterative local re-ranking with attribute guided synthesis for face sketch recognition. Pattern Recognition, Vol.109, pp.107579:1-10, 2020. 

  40. Yu Zhang, Xinbo Gao*, Lihuo He, Wen Lu, Ran He. Objective Video Quality Assessment Combining Transfer Learning with CNN. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol.31, No.8, pp.2716-2730, 2020. 

  41. Yu Zheng, Jianping Fan, Ji Zhang, Xinbo Gao. Discriminative Fast Hierarchical Learning for Multiclass Image Classification. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol.31, No.8, pp.2779-2790, 2020. 

  42. Haoyuan Guo, Xi Yang, Nannan Wang, Bin Song,and Xinbo Gao. A Rotational Libra R-CNN Method for Ship Detection. IEEE Trans. on Geoscience and Remote Sensing (IEEE TGRS), Vol.58, No.8, pp.5772-5781, 2020. 

  43. Chunlei Peng, Nannan Wang, Jie Li, and Xinbo Gao*.Universal Face Photo-Sketch Style Transfer via Multiview Domain Translation. IEEE Transactions on Image Processing (IEEE TIP), Vol.29, pp.8519-8534, 2020.

  44. Jiachen Yang, Yang Zhao, Bin Jiang, Wen Lu,and Xinbo Gao. No-Reference Quality Evaluation of Stereoscopic Video Based on Spatio-Temporal Texture. IEEE Trans. on Multimedia (IEEE TMM), Vol.22, No.10, pp.2535-2644, 2020.

  45. Jiachen Yang, Yang Zhao, Bin Jiang, Qinggang Meng, Wen Lu, Xinbo Gao. No-reference Quality Evaluation of Stereoscopic Videos with Inter-frame Cross on a Content-rich Database. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol.30, No.10, pp.3608-3623, 2020.

  46. Huiling Xu, Xiangdong Zhang, Wei Xia, Quanxue Gao, Xinbo Gao. Low-rank Tensor Constrained Co-regularized Multi-view Spectral Clustering. Neural Networks, Vol. 132, pp.245-252, 2020. 

  47. Yanting Hu, Jie Li, Yuanfei Hu, Xinbo Gao. Channel-wise and Spatial Feature Modulation Network for Single Image Super-Resolution. IEEE Trans. on Circuits and Systems for Video Technology (IEEE TCSVT),  Vol.30, No.11, pp.3911-3927, 2020. 

  48. Decheng Liu, X. Gao, N. Wang, J. Li and C. Peng. Coupled Attribute Learning for Heterogeneous Face Recognition. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol.31, No.11, pp.4699-4712, 2020. 

  49. Deyan Xie, Xiangdong Zhang, Quanxue Gao, Jiale Han, Song Xiao, Xinbo Gao. Multiview Clustering by Joint Latent Representation and Similarity Learning. IEEE Transactions on Cybernetics (IEEE TCyb), Vol.50, No.11, pp.4848-4854, 2020. 

  50. Lin Qi, Jie Li, Ying Wang, Yongfa Huang, Xinbo Gao. Spectral-Spatial-Weighted Multiview Collaborative Sparse Unmixing for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), Vol.58, No.12, pp.8766-8779, 2020. 

  51. Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang. Towards Transferable Targeted Attack. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 641-649. 

  52. Yang Liu, Jin Li, Xinbo Gao. A Simple Discriminative Dual Semantic Auto-encoder for Zero-shot Classification. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2020. 

  53. Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo , Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh PS, Densen Puthussery , Jiji CV. NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.2045-2057, 2020. 

  54. Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, JungHeum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Eric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P S, Densen Puthussery, Jiji C V, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang,Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, and Christian Micheloni. AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. arXiv:2009.06943v1 [eess.IV] 15 Sep 2020. 

  55. Ziyu Wei, Xi Yang, Nannan Wang, Bin Song and Xinbo Gao. ABP: Adaptive Body Partition Model For Visible Infrared Person Re-Identification. 2020 IEEE International Conference on Multimedia and Expo (ICME), London, United Kingdom, 2020, pp. 1-6.

  56. Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li. Facial Attribute Capsules for Noise Face Super Resolution. Thirty-fourth AAAI Conference on Artificial Intelligence, February 7-12, 2020, Hilton New York Midtown, New York, USA.

  57. Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen. Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. Thirty-fourth AAAI Conference on Artificial Intelligence, February 7-12, 2020, Hilton New York Midtown, New York, USA.

  58. Di Wang, QUang Wang, Yiqiang An, Xinbo Gao*, Yumin Tian. Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval . SIGIR2020, pp.1409-1418, July 25-30, 2020, ,Virtual Event, China. 

  59. Yongfa Huang, Jie Li, Lin Qi, Ying Wang, Xinbo Gao. Spatial-Spectral Autoencoder Networks for Hyperspectral Unmixing. International Symposium on Geoscience and Remote Sensing Society (IGRSS 2020), 2020.

  60. Mingyu Lei, Jie Li, Lin Qi, Ying Wang, Xinbo Gao. Hyperspectral Unmixing via Recurrent Neural Network with Chain Classifier. International Symposium on Geoscience and Remote Sensing Society (IGRSS 2020), 2020.

  61. Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, and Xinbo Gao. Binarized Neural Network for Single Image Super Resolution. ECCV2020, SEC Scottish Exhibition Center, Glasgow, United Kingdom, August 23-28, 2020. 

  62. Linzi Qu, Lihuo He*, Junjie Ke, Xinbo Gao, Wen Lu. Learning More Accurate Features for Semantic Segmentation in CycleNet. Proceedings of the Asian Conference on Computer Vision (ACCV), 2020. 

  63. Xinbo Gao, Patrick Le Callet, Jing Li, Zhi Li, Wen Lu, Jiachen Yang. QoEVMA’20: 1st Workshop on Quality of Experience (QoE) in Visual Multimedia Applications. Multimedia 2020, Workshop, Oct. 12-16, 2020, Seattle, WA. USA.

  64. Yunchu Yang, Xiumei Wang, Xinbo Gao, Zheng Hui. Lightweight Image Super-resolution with Local Attention Enhancement. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), PRCV 2020: Pattern Recognition and Computer Vision pp.219-231,2020. 

  65. Jingwei Xin, Xinrui Jiang, Nannan Wang, Jie Li, Xinbo Gao. Image Super-Resolution via Deep Feature Recalibration Network. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), PRCV 2020: Pattern Recognition and Computer Vision pp.256-267, 2020. 

  66. Keyu Li, Nannan Wang, Xinbo Gao. Feature Space Based Loss for Face Photo-Sketch Synthesis. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), PRCV 2020: Pattern Recognition and Computer Vision pp.374-385, 2020. 

  67. Chunlei Peng, Wenbo Zhang, Decheng Liu, Nannan Wang, and Xinbo Gao. Temporal Consistency Based Deep Face Forgery Detection Network. International Conference on Machine Learning for Cyber Security (ML4CS 2020): Machine Learning for Cyber Security pp 55-63, 2020. 

  68. Xinbo Gao, Xueqi Cheng, Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia. Preface. Lecture Notes in Computer Science, Information Retrieval - 26th China Conference, CCIR 2020, pp.1-1, Xi'an. 

  69. 高新波, 黎铭, 李天瑞. 非经典条件下的机器学习方法专题前言. 软件学报,Vol.31, No.4, pp.909-911, 2020. 

  70. 高新波, 路文, 查林, 惠 政, 亓统帅, 姜建德. 超高清视频画质提升技术及其芯片化方案.  重庆邮电大学学报(自然科学版), Vol.32, No.5, pp.681-697, 2020. 

  71. 彭春蕾, 高新波, 王楠楠, 李洁. 基于可视数据的可信身份识别和认证方法. 电信科学, Vol. 36, No. 11, pp. 1-17, 2020. 

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[2019]
  1. Di Wang, Xinbo Gao*, Xiumei Wang, Lihuo He. Label Consistent Matrix Factorization Hashing for Large-Scale Cross-Modal Similarity Search. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), Vol.41, No.10, pp.2466-2479, 2019. 

  2. Mingjin Zhang, Ruxin Wang, Xinbo Gao*, Jie Li, Dacheng Tao. Dual-Transfer Face Sketch–Photo Synthesis. IEEE Trans. on Image Processing (IEEE TIP), Vol.28, No. 2, pp.642-657, 2019. 

  3. Jiachen Yang, Kyohoon Sim, Xinbo Gao, Wen Lu, Qinggang Meng, Baihua Li. A Blind Stereoscopic Image Quality Evaluator with Segmented Stacked Autoencoders Considering the Whole Visual Perception Route. IEEE Trans. on Image Processing (IEEE TIP), Vol.28, No.3, pp.1314-1328, 2019. 

  4. Kaibing Zhang, Zhen Wang, Jie Li, Xinbo Gao*, Zenggang Xiong. Learning Recurrent Residual Regressors for Single Image Super-Resolution. Signal Processing, Vol. 154, pp.324-337, 2019. 

  5. Wen Lu, Ran He, Jiachen Yang, Changcheng Jia, Xinbo Gao. A Spatiotemporal Model of Video Quality Assessment via 3D Gradient Differencing. Information Science, Vol.478, pp.141-151, 2019.

  6. Chunlei Peng, Xinbo Gao*, Nannan Wang, Jie Li. Sparse Graphical Representation Based Discriminant Analysis for Heterogeneous Face Recognition. Signal Processing, Vol.156, pp.46-61, 2019.

  7. Yang Liu, Caifeng Shan, Quanxue Gao, Xinbo Gao, Jungong Han, Rongmei Cui. Hyperspectral Image Denoising via Minimizing the Partial Sum of Singular Values and Superpixel Segmentation. Neurocomputing, Vol.330, pp.465-482, 2019.

  8. Qin Li, Yang Liu, Shujian Wang, Quanxue Gao, Xinbo Gao. Image Classification Using Low-Rank Regularized Extreme Learning Machine. IEEE Access, Vol.7, pp. 877-883, 2019. 

  9. Bo Yuan, Xinbo Gao, Zhenxing Niu, Qi Tian. Discovering Latent Topics by Gaussian Latent Dirichlet Allocation and Spectral Clustering. ACM Trans. on Multimedia Computing, Communications, and Applications (ACM TOMM), Vol.15, No.1, pp.25:1-18, January 2019. 

  10. Chunlei Peng, Nannan Wang, Jie Li, Xinbo Gao*. DLFace: Deep Local Descriptor for Cross-modality Face Recognition. Pattern Recognition, Vol.90, pp.161-171, 2019. 

  11. Cheng Deng, Zhao Li, Xinbo Gao, Dacheng Tao. Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics. ACM Trans. on Intelligent Systems and Technology (TIST), Vol.10, No.2, pp.20:1-20:20, 2019. 

  12. Xi Yang, Tan Wu, Lei Zhang, Dong Yang, Nannan Wanga, Bin Song, Xinbo Gao*. CNN with Spatio-temporal Information for Fast Suspicious Object Detection and Recognition in THz Security Images. Signal Processing, Vol.160, pp.202-214, 2019. 

  13. Xi Yang, Yingzhi Tang, Nannan Wang, Bin Song, Xinbo Gao*. An End-to-End Noise-Weakened Person Re-Identification and Tracking With Adaptive Partial Information. IEEE Access, Vol.7, pp.20984-20995, 2019. 

  14. Quanxue Gao, Sai Xu, Fang Chen, Chris Ding, Xinbo Gao, Yunsong Li. R12-DPCA and Face Recognition. IEEE Trans. on Cybernetics (IEEE TCyb), Vol.49, N0.4, pp.1212-1223, 2019. 

  15. Bin Wang, Xiuying Yuan, Xinbo Gao*, Xuelong Li, Dacheng Tao. A Hybrid Level Set with Semantic Shape Constraint for Object Segmentation. IEEE Trans. on Cybernetics (IEEE TCyb), Vol.49, No.5, pp.1558-1569, 2019. 

  16. Philip Chen, C.L., Xinge You, Xinbo Gao, Tongliang Liu, Murtagh Fionn, Weifeng Liu. Advances in Data Representation and Learning for Pattern Analysis, Neurocomputing, Vol.348, pp.1-2, 2019. 

  17. Chao Pan, Xinbo Gao*, Ying Wang, and Jie Li. Markov Random Fields Integrating Adaptive Interclass-Pair Penalty and Spectral Similarity for Hyperspectral Image Classification. IEEE Trans. on Geoscience and Remote Sensing (IEEE TGRS), Vol.57, No.5, pp.2520-2534, 2019. 

  18. Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, Jungong Han, Ling Shao. Flexible Unsupervised Feature Extraction for Image Classification. Neural Networks, Vol.115, pp.65–71, 2019. 

  19. Xi Yang, Nannan Wang, Bin Song, and Xinbo Gao*, BoSR: A CNN-based Aurora Image Retrieval Method. Neural Networks, Vol.116, pp.188-197,  2019.

  20. Lin Qi, Jie Li, Xinbo Gao*, Ying Wang, Chongyue Zhao, Yu Zheng. A Novel Joint Dictionary Framework for Sparse Hyperspectral Unmixing Incorporating Spectral Library. Neurocomputing, Vol.356, pp/97-106, 2019. 

  21. Bo Yuan, Xinbo Gao*. Diversified Textual Features based Image Retrieval. Neurocomputing, Vol.357, pp.116-124, 2019. 

  22. Bing Cao, Nannan Wang, Jie Li, Xinbo Gao*. Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition. IEEE Trans. on Neural Networks and Learning Systems (IEEE TNNLS), Vol. 30, No.6, pp.1731-1743, 2019. 

  23. Xiumei Wang. Tianzhen Zhang, Xinbo Gao*. Multiview Clustering Based on Non-Negative Matrix Factorization and Pairwise Measurements. IEEE Trans. on Cybernetics (IEEE TCyb), Vol.40, No.9, pp.3333-3346, 2019.

  24. Xiaodan Zhang, Xinbo Gao*, Wen Lu, Ying Yu, Lihuo He. Fusion Global and Local Deep Representations with Neural Attention for Aesthetic Quality Assessment. Signal Processing: Image Communication, Vol.78, pp.42-50, 2019. 

  25. Bing Han, Lixia Zhang, Xinbo Gao*. The Region based MMTD Energy Function for Image Segmentation. Multimedia Tools and Applications, Vol.78, No.12, pp.16695-16726, 2019. 

  26. Xi Yang, Nannan Wang, Bin Song, Xinbo Gao*. Aurora Image Search With Saliency Deep Features. IEEE Access, Vol. 7, pp. 65996-66006, 2019. 

  27. Ping Wang, Bing Han, Jie Li, Xinbo Gao. Structural Reweight Sparse Subspace Clustering. Neural Processing Letters, Vol. 49, No. 3, pp. 965-977, 2019.

  28. Lin Qi, Jie Li, Ying Wang, Xinbo Gao*. Region-Based Multiview Sparse Hyperspectral Unmixing Incorporating Spectral Library. IEEE Geoscience and Remote Sensing Letter (IEEE GRSL), Vol.16, No.7, pp.1140-1144, 2019. 

  29. Yu Zhou, Leida Li, Shiqi Wang, Jinjian Wu, Yuming Fang, Xinbo Gao. No-Reference Quality Assessment for View Synthesis Using DoG-based Edge Statistics and Texture Naturalness. IEEE Trans. on Image Processing (IEEE TIP), Vol.28, No.9, pp.4566-4579, 2019. 

  30. Chunlei Peng, Nannan Wang*, Jie Li, Xinbo Gao*. Re-ranking High-Dimensional Deep Local Representation for NIR-VIS Face Recognition. IEEE Trans. on Image Processing (IEEE TIP), Vol.28, No.9, pp.4553-4565, 2019. 

  31. Jiabao Man, Gen Li, Meng Xi, Yutian Lei, Wen Lu, Xinbo Gao. MFNN: Position and Attitude Measurement Neural Network Based on Multi-Feature Fusion. IEEE Access, Vol.7, pp.109495-109505, 2019. 

  32. Xiumei Wang, Yanan Gu, XinboGao*, Zheng Hui. Dual Residual Attention Module Network for Single Image Super Resolution. Neurocomputing, Vol.364, pp.269-279, 2019.

  33. Yu Zhang, Xinbo Gao*, Lihuo He, Wen Lu, Ran He. Blind Video Quality Assessment with Weakly Supervised Learning and Resampling Strategy. IEEE Trans. on Circuits and Systems for Video Technology (IEEE TCSVT), Vol.29, No.8, pp.2244-2255, 2019. 

  34. Mingjin Zhang, Jing Zhang, Yuan Chi, Yunsong Li, Nannan Wang, Xinbo Gao. Cross-Domain Face Sketch Synthesis. IEEE Access, Vol.7, pp. 98866-98874, 2019. 

  35. Mingrui Zhu, Jie Li, Nannan Wang*, Xinbo Gao*. A Deep Collaborative Framework for Face Photo-Sketch Synthesis. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol.30, No.10, pp.3109-3108, 2019.

  36. Mingjin Zhang, Nannan Wang, Yunsong Li, Xinbo Gao. Deep Latent Low-Rank Representation for Face Sketch Synthesis. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol.30, No.10, pp.3096-3123, 2019.

  37. Bing Han, Yiyuan Han, Xinbo Gao, Lixia Zhang. Boundary constraint factor embedded localizing active contour model for medical image segmentation. Journal of Ambient Intelligence and Humanized Computing, Vol.10, No.10, pp.3853-3862, 2019.  

  38. Yang Liu, Xinbo Gao, Quanxue Gao, Ling Shao, Jungong Han. Adaptive Robust Principal Component Analysis. Neural Networks, Vol.119, pp.85-92, 2019. 

  39. Xiaodan Zhang, Xinbo Gao, Wen Lu, Lihuo He. A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction. IEEE Transactions on Multimedia (IEEE TMM), Vol.21, No.11, pp.2815-2826, 2019. 

  40. Lihuo He, Yanzhe ZHong, Wen Lu, and Xinbo Gao. A Visual Residual Perception Optimized Network for Blind Image Quality Assessment. IEEE Access, Vol.7,pp.176087-176098, 2019. 

  41. Lin Qi, Jie Li, Ying Wang, Xinbo Gao. Urban Observation: Integration of Remote Sensing and Social Media Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), Vol.12, No.11, pp.4252-4264, 2019. 

  42. Yi Hao, Nannan Wang, Li Jie, Xinbo Gao. HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-identification. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19),  Vol.33, pp.8385-8392, January 27 – February 1, 2019, Honolulu, Hawaii, USA.

  43. Jingwei Xin, Nannan Wang, Li Jie, Xinbo Gao. Residual Attribute Attention Network for Face Image Super-Resolution. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19),  Vol.33, pp.9054-9061, January 27 – February 1, 2019, Honolulu, Hawaii, USA. 

  44. Zhikang Wang, Lihuo He, Xinbo Gao, Yuanfei Huang. Multi-scale Spatial-temporal Networks for Person Re-identification. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), 12-17 May, 2019, Brighton, UK, pp.2052-2056. 

  45. Yuanfei Huang, Jie Li, Xinbo Gao, Wen Lu, Yanting Hu. Improving Image Super-resolution via Feature Re-Balancing Fusion. 2019 IEEE International Conference on Multimedia and Expo (ICME 2019), pp.580-585, July 8-12, 2019 Shanghai, China, 2019.

  46. Yingzhi Tang, Xi Yang, Nannan Wang, Xinrui Jiang, Bin Song, and Xinbo Gao. Person re-identification with gradual background suppression. IEEE International Conference on Multimedia and Expo (ICME 2019). pp.706-711, July 8-12, 2019 Shanghai, China, 2019.

  47. Bing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li. Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp.680-686, August 10-16, 2019, Macao, China. 

  48. Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li. Face Photo-Sketch Synthesis via Knowledge Transfer. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp.1048-1054, August 10-16, 2019, Macao, China. 

  49. Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang. Group Reconstruction and Max-Pooling Residual Capsule Network. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp.2237-2243, August 10-16, 2019, Macao, China. 

  50. Yang Liu, Deyan Xie, Quanxue Gao, Jungong Han, Shujian Wang, Xinbo Gao. Graph and Autoencoder Based Feature Extraction for Zero-shot Learning. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp.3038-3044, August 10-16, 2019, Macao, China. 

  51. Tan Wu, Xi Yang, Bin Song, Nannan Wang, Xinbo Gao, Liyang Kuang, Xiaoting Nan, Yuwen Chen, and Dong Yang. T-SCNN: A Two-stage Convolutional Neural Network for Space Target Recognition. IEEE International Geoscience and Remote Sensing Symposium (IGARSS2019), pp.1334-1337, July 28-August 2, 2019, Yokokama, Japan. 

  52. Junbo Hao, Ying Wang, Jie Li, Xinbo Gao. Non-Local Compressive Network for Hyperspectral and Multispectral Data Fusion. IEEE International Geoscience and Remote Sensing Symposium (IGARSS2019), pp.3384-3387, July 28-August 2, 2019, Yokokama, Japan.

  53. Kaibing Zhang, Danni Zhu, Junfeng Jing, Xinbo Gao. Learning a cascade regression for no-reference super-resolution image quality assessment. IEEE International Conference on Image Processing (ICIP2019), pp.450-453, September 22-25, 2019, Taiwan. 

  54. Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao. An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. Medical Image Computing and Computer Assisted Interventions 2019 (MICCAI 2019), D. Shen et al. (Eds.): MICCAI 2019, LNCS 11769, pp., Shenzhen, China, Oct. 13-17, 2019.  

  55. Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, and Xinbo Gao. A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment. Computational Methods and Clinical Applications for Spine Imaging - 6th International Workshop and Challenge, CSI 2019, Proceedings, pp.101-106, 2019. 

  56. Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xinbo Gao. Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. Medical Image Computing and Computer Assisted Interventions 2019 (MICCAI 2019), D. Shen et al. (Eds.): MICCAI 2019, LNCS 11769, pp., Shenzhen, China, Oct. 13-17, 2019.

  57. Haosheng Chen, Qiangqiang Wu, Yanjie Liang, Xinbo Gao and Hanzi Wang. Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking. 27th ACM International Conference on Multimedia (ACM MM 2019), pp.473-481, Nice, France from 21-25 October 2019. 

  58. Zheng Hui, Xiumei Wang, Xinbo Gao, Y.-C. Yang. Lightweight Image Super-Resolution with Information Multi-distillation Network. 27th ACM International Conference on Multimedia (ACM MM 2019), Nice, France from 21-25 October 2019.  

  59. Yi Hao, Nannan Wang, Xinbo Gao, Jie Li and Xiaoyu Wang. Dual-alignment Feature Embedding for Cross-modality Person Re-identification. 27th ACM International Conference on Multimedia (ACM MM 2019), Nice, France from 21-25 October 2019.

  60. Yi Zhang,Linzi Qu,Lihuo He*,Wen Lu, Xinbo Gao. Beauty Aware Network: An Unsupervised Method for Makeup Product Retrieval. 27th ACM International Conference on Multimedia (ACM MM 2019),  pp.2558-2562, October 21–25, 2019, Nice, France. 

  61. Yujun Zhang, Bing Han, Xinbo Gao, Haoran Li. Personalized Travel Recommendation via Multi-View Representation Learning. Chinese Conference on Pattern Recognition and Computer Vision 2019 (PRCV 2019), pp.97-109, Xi'an, China, Nov.8-11, 2019.

  62. Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao*. A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI.In: Cui Z., Pan J., Zhang S., Xiao L., Yang J. (eds) Intelligence Science and Big Data Engineering. Visual Data Engineering, pp.285-298. IScIDE 2019. Lecture Notes in Computer Science, vol 11935. Springer, Cham

  63. Haojun Xu, Yan Gao, Liucheng Hu, Jie Li, Xinbo Gao. Nuclei Perception Network for Pathology Image Analysis. In: Cui Z., Pan J., Zhang S., Xiao L., Yang J. (eds) Intelligence Science and Big Data Engineering. Visual Data Engineering, pp.540-551. IScIDE 2019. Lecture Notes in Computer Science, vol 11935. Springer, Cham.

  64. Tianyan Wu, Lihuo He, Hongxia Cai, Wen Lu, Xinbo Gao. Influence of significant target on image quality assessment via EEG. Proceedings of 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2019), 2019. 

  65. Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan,Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu,Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi. NTIRE 2019 Challenge on Image Enhancement: Methods and Results. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0.

  66. Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Sun Anshun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joon-Hee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He . NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0. 

  67. Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang. AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. Advances in Image Manipulation Workshop, International Conference on Computer Vision (ICCV), Seoul, Korea, November 2, 2019. arXiv:1911.01249  2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), pp.3565-3574, 2019.

  68. Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao. Un-Paired Real World Super-Resolution with Degradation Consistency. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), pp.3458-3466, 2019. 

  69. Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A N Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler. AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. Advances in Image Manipulation Workshop, International Conference on Computer Vision (ICCV), Seoul, Korea, November 2, 2019. arXiv:1911.07783. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), pp.3575-3583, 2019.

  70. 李英,李博,高新波. 提升高精度图像弱目标视觉质量的高效压缩算法. 西南交通大学学报,Vol.54, No.5, pp.1012-1020, 2019. 

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2018
  1. Zhenxing Niu, Gang Hua, Le Wang, Xinbo Gao. Knowledge Based Topic Model for Unsupervised Object Discovery and Localization. IEEE Trans. on Image Processing (IEEE-TIP), Vol.27, No.1, pp.50-63, 2018.

  2. Dapeng Tao, Yanan Guo, Yaotang Li, Xinbo Gao. Tensor Rank Preserving Discriminant Analysis for Facial Recognition. IEEE Trans. on Image Processing (IEEE-TIP), Vol.27, No.1, pp.325-334, 2018.

  3. Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li. A Parasitic Metric Learning Net for Breast Mass Classification Based on Mammography. Pattern Recognition, Vol.75, pp.292-301, 2018. (SCI:, EI: 20173003977903)

  4. Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li, Haojun Xu. Deep Convolutional Neural Networks for mental load classification based on EEG data. Pattern Recognition, Vol.76, pp.582-595, 2018.

  5. Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie. L2,p-norm based PCA for Image Recognition. IEEE Transactions on Image Processing (IEEE TIP), Vol.27, No.3, pp.1336-1346, 2018.

  6. Kaibing Zhang, Jie Li, Haijun Wang, Xiuping Liu, Xinbo Gao. Learning Local Dictionaries and Similarity Structures for Single Image Super-resolution. Signal Processing, Vol.142, pp.231-243, 2018.

  7. Nannan Wang, Xinbo Gao, Dacheng Tao, Heng Yang, Xuelong Li. Facial Feature Point Detection: A Comprehensive Survey. Neurocomputing, Vol.275, pp.50-65, 2018.

  8. Chao Pan, Jie Li, Ying Wang, Xinbo Gao. Collaborative learning for hyper- spectral image classification. Neurocomputing, Vol.275, pp.2512-2524,2018.

  9. Xinxia Fan, Yanhua Yang, Cheng Deng, Jie Xua, Xinbo Gao. ompressed multi-scale feature fusion network for single image super-resolution, Signal Processing, Vol.146, pp.50-60, May 2018.

  10. Mingjin Zhang, Jie Li, Nannan Wang, and Xinbo Gao. Compositional Model-based Sketch Generator in Facial Entertainment. IEEE Trans. on Cybernetics (IEEE TCy), Vol.48, No.3, pp. 904-915, 2018.

  11. Nannan Wang, Xinbo Gao, Jie Li. Random Sampling for Fast Face Sketch Synthesis. Pattern Recognition, Vol.76, pp.215-227, 2018.

  12. Yang Liu, K. Wen, Quanxue Gao, Xinbo Gao, Feiping Nie. SVM based Multi-lable Learning with Missing Labels for Image Annotation. Pattern Recognition, Vol.78, pp.307-317, June 2018.

  13. Xi Yang, Xinbo Gao, Bin Song, Dong Yang. Aurora Image Search with Contextual CNN Feature. Neurocomputing, Vol.281, pp.67-77, 2018.

  14. Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie. L2,p-norm based PCA for Image Recognition. IEEE Transactions on Image Processing (IEEE TIP), 2018. DOI: 10.1109/TIP.2017.2777184

  15. Chunna Tian, Xiangnan Zhang, Wei Wei, Xinbo Gao. Color Pornographic Image Detection based on Color-saliency Preserved Mixture Deformable Part Model. Multimedia Tools and Applications (MTA), 2018. doi:10.1007/s11042-017-4576-2

  16. Xi Yang, Xinbo Gao, Bin Song, Nannan Wang, and Dong Yang. ASI Aurora search: An Attempt of Intelligent Image Processing for Circular Fisheye Lens. Optics Express, Vol.26, No,7, pp.7985-8000, 2018. 

  17. Zhang Yongquan, Ji Hongbing, Gao Xinbo, Hu Qi. An Ellipse Extended Target CBMeMBer Filter Using Gamma and Box-Particle Implementation. Signal Processing, Vol.149, pp.88-102, 2018.

  18. Quanxue Gao, Lan Ma, Yang Liu, Xinbo Gao, Feiping Nie. Angle 2DPCA: A New Formulation for 2DPCA. IEEE Trans. on Cybernetics (IEEE-TCyb), Vol.48, No.5, pp.1672-1678, 2018.

  19. Nannan Wang, Wenjin Zha, Jie Li, Xinbo Gao. Back Projection: An Effective Postprocessing Method for GAN-based Face Sketch Synthesis. Pattern Recognition Letters, Vol.107, pp.59-65, 2018.

  20. Decheng Liu, Jie Li, Nannan Wang, Chunlei Peng, Xinbo Gao. Composite Components-based Face Sketch Recognition. Neurocomputing, Vol.302, pp.46-54, 2018. 

  21. Chongyue Zhao, Xinbo Gao, William J. Emery, Ying Wang, Jie Li. An Integrated Spatio-Spectral-Temporal Sparse Representation Method for Fusing Remote Sensing Images with Different Resolutions. IEEE Trans. on Geoscience and Remote Sensing (IEEE TGRS), Vol.56, No.6, pp.3358-3370, 2018.

  22. Chunna Tian, Haiyang Li, Xinbo Gao. Photo-realistic 2D expression transfer based on FFT and modified Poisson image editing. Neurocomputing, Vol.309, pp.1-10, 2018.

  23. Yue Song, Yang Liu, Quanxue Gao, Xinbo Gao, Feiping Nie, Rongmei Cui. Euler Label Consistent K-SVD for image classification and action recognition. Neurocomputing, Vol.310, pp.277-286, 2018.  

  24. Shengchuan Zhang, Rongrong Ji, Ling Cai, XinboGao. Face Sketch Aging via Aging Oriented Principal Component Analysis. Pattern Recognition Letters, Vol.109, pp.65-71, 2018. 

  25. Jinglei Li, Xinbo Gao, Qinghai Yang, Wen Gao, and Kyung Sup Kwak. Neural-Network Aided Dynamic Control for Delivering Media Streams in Selfish Wireless Networks with Unknown Node-Selfishness. IEEE Access, 2018.

  26. Akram Adeel, Nannan Wang, Jie Li, Xinbo Gao. A Comparative Study on Face Sketch Synthesis. IEEE Access, Vol.6, pp.37084-37093, 2018.

  27. Yang Liu, Quanxue Gao, Xinbo Gao, Ling Shao. L2, 1-Norm Discriminant Manifold Learning. IEEE Access, Vol.6, pp.40723-40734, 2018.

  28. Wenliang Qiu, Xinbo Gao, Bing Han. Eye Fixation Assisted Video Saliency Detection via Total Variation-Based Pairwise Interaction. IEEE Trans. Image Processing (IEEE TIP), Vol.27, No.10, pp.4724-4739, 2018. 

  29. Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao,and Dacheng Tao. Triplet-Based Deep Hashing Network for Cross-Modal Retrieval. IEEE Trans. on Image Processing (IEEE TIP), Vol.27, No.8, pp.3893-3903, 2018.

  30. Xiangnan Zhang, Xinbo Gao, Chunna Tian. Text detection in natural scene images based on color prior guided MSER. Neurocomputing, Vol.307, pp.61-71, 2018. 

  31. Xiaodan Zhang, Xinbo Gao, Wen Lu, Lihuo He, Qi Liu. Dominant vanishing point detection in the wild with application in composition analysis. Neurocomputing, Vol.311, pp.260-269, 2018. 

  32. Qi Liu, Xinbo Gao, Lihuo He,Wen Lu. Single Image Dehazing With Depth-aware Non-local Total Variation Regularization. IEEE Transactions on Image Processing (IEEE TIP), Vol.27, No.10, pp.5178-5191, June 23, 2018.

  33. Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li. Face recognition from multiple stylistic sketches: Scenarios, datasets, and evaluation. Pattern Recognition, Vol.84, pp.262-272, 2018.

  34. Jianqiang Yan, Xinbo Gao. Pornographic video detection with MapReduce. International Journal of Machine Learning and Cybernetics (2018), Vol.9, No.12, pp.2105-2115, 2018.

  35. Ping Wang, Bing Han, Jie Li, Xinbo Gao. Structural Reweight Sparse Subspace Clustering. Neural Processing Letters, Vol., No., pp., 2018.

  36. Yuanfei Huang, Jie Li, Xinbo Gao, Lihuo He, Wen Lu. Single Image Super-Resolution via Multiple Mixture Prior Models. IEEE Trans. on Image Processing (IEEE TIP), Vol.27, No.12, pp.5904-5917, 2018. 

  37. Nannan Wang, Xinbo Gao, Leiyu Sun, and Jie Li. Anchored Neighborhood Index for Face Sketch Synthesis. IEEE Trans on Circuits and Systems for Video Technology (IEEE TCSVT), Vol.28, No.9, pp.2154-2163, 2018.

  38. Di Wang, Quan Wang, Xinbo Gao. Robust and Flexible Discrete Hashing for Cross-Modal Similarity Search. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol.28, No.10, pp.2703-2715, October 2018. 

  39. Bo Yuan, Xinbo Gao, Zhenxing Niu. Discovering Latent Aspects for Diversity-induced Image Retrieval. IEEE Multimeida, Vol.25, No.4, pp.19-33, 2018.

  40. Shuangli Liao, Jin Li, Yang Liu, Quanxue Gao, Xinbo Gao. Robust Formulation for PCA: Avoiding Mean Calculation With L2, p-norm Maximization. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), pp.3604-3610, February 2-7, 2018, Hilton New Orleans Riverside, New Orleans, Louisiana, USA. 

  41. Bing Cao, Nannan Wang, Xinbo Gao, and Jie Li. Asymmetric Joint Learning for Heterogeneous Face Recognition. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), pp. 6682-6689, February 2-7, 2018, Hilton New Orleans Riverside, New Orleans, Louisiana, USA. 

  42. Mingjin Zhang, Nannan Wang, Yunsong Li, Ruxin Wang, and Xinbo Gao. Face Sketch Synthesis from Coarse to Fine. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), pp.7558-7565, February 2-7, 2018, Hilton New Orleans Riverside, New Orleans, Louisiana, USA. 

  43. Zhonggui Sun, Xinbo Gao, Dongmei Zhang. A Nonlocal Operator Model for Morphological Image Processing. 2017 IEEE International Conference on Image Processing (ICIP2017), p 230-234, February 20, 2018.

  44. Rui Wang, Wen Lu Jiachen Yang, Yuanfei Huang, Xinbo Gao, Lihuo He. Single Image Super Resolution based on Deep Residual Network via Lateral Modules. The 25th IEEE International Conference on Image Processing (ICIP 2018), pp.3568-3572, Athens, Greece, October 7-10, 2018. 

  45. Ziheng Zhou, Wen Lu, Lihuo He, Jiachen Yang, Xinbo Gao. Blind Image Quality Assessment Based on Visuo-Spatial Series Statistics. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3161-3165, 15-20 April 2018. 

  46. Tianzhen Zhang, Xiumei Wang, Xinbo Gao, "Adaptive multi-view clustering based on nonnegative matrix factorization and pairwise co-regularization", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), Proc. of SPIE Vol. 10615 106152Y-1-10, 2018.

  47. Zheng Hui, Xiumei Wang, Xinbo Gao. Fast and Accurate Single Image Super-Resolution via Information Distillation Network. Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2018), pp.723-731, June 18-22, 2018, Salt Lake City, Utah, USA.

  48. Chao Li, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao, and Dacheng Tao. Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval. Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2018), pp.4242-4251, June 18-22, 2018, Salt Lake City, Utah, USA.

  49. Decheng Liu, Nannan Wang, Chunlei Peng, Jie Li, Xinbo Gao. Deep Attribute Guided Representation for Heterogeneous Face Recognition. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), pp.835-841, July 13-19 2018, Stockholm, Sweden.

  50. Mingjin Zhang, Nannan Wang, Xinbo Gao, Yunsong Li. Markov Random Neural Fields for Face Sketch Synthesis. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), pp.1142-1148, July 13-19 2018, Stockholm, Sweden. 

  51. Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao. Deep Joint Semantic-Embedding Hashing. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), pp.2397-2403, July 13-19 2018, Stockholm, Sweden. 

  52. Zhuoqi Ma, Nannan Wang, Xinbo Gao, Jie Li. From Reality to Perception: Genre-Based Neural Image Style Transfer. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), pp.3491-3497, July 13-19 2018, Stockholm, Sweden. 

  53. Yuanyuan Chen, Jianlong Zhang, and Xinbo Gao. Change Detection in Multi- spectral Remote Sensing Images Based on Optimized Fusion of Subspaces. International Conference on Intelligent Science and Big Data Engineering
    IScIDE 2018
    : Intelligence Science and Big Data Engineering, LNCS, volume 11266, pp 528-538, 2018.

  54. Yuemei Zhang, Xiumei Wang, and Xinbo Gao. Adaptive Latent Representation for Multi-view Subspace Learning. 2018 24th International Conference on Pattern Recognition (ICPR), Beijing, China, August 20-24, pp.1229-1234, 2018.

  55. Zheng Hui, Xiumei Wang, and Xinbo Gao. Two-Stage Convolutional Network for Image Super-Resolution. 2018 24th International Conference on Pattern Recognition (ICPR), Beijing, China, August 20-24, pp.2670-2675, 2018.

  56. Xi Yang, Xinbo Gao, Bin Song, Nannan Wang, and Dong Yang. Saliency Deep Embedding for Aurora Image Search. 2018 IEEE International Conference on Multimedia and Expo (ICME), pp.1-6, 2018.

  57. Huxing Sun, Rui Wang, Wen Lu, Lihuo He, Xinbo Gao, Mingjong Jou, Shensian Syu, Jishiang Li. Image super-resolution based on multiple linear mappings. Proceedings of the 23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016, Vol.4, pp.2045-2048, 2018. 

  58. Ran He, Wen Lu, Yu Zhang, Xinbo Gao, Lihuo He. Spatiotemporal Masking for Objective Video Quality Assessment. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Part of the Lecture Notes in Computer Science book series (LNCS, volume 11256) PRCV 2018: Pattern Recognition and Computer Vision pp 309-321, 2018. 

  59. Yu Zheng, Jianping Fan, Ji Zhang, Xinbo Gao. A Hierarchical Cluster Validity Based Visual Tree Learning for Hierarchical Classification. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Part of the Lecture Notes in Computer Science book series (LNCS, volume 11256) PRCV 2018: Pattern Recognition and Computer Vision pp 478-490, 2018.

  60. Zongben Xu, Xinbo Gao, Qiguang Miao, Yunquan Zhang, Jiajun Bu. Big Data: CCF Conference on Big Data. Proceedings of the 6th CCF Conference on Big Data, Xi'an, China, October 11-13, 2018.

  61. Zongben Xu, Xinbo Gao, Qiguang Miao, Yunquan Zhang, Jiajun Bu. Preface.
    Communications in Computer and Information Science, Vol.945, pp. V, 2018, Proceedings of the 6th CCF Conference on Big Data, 2018.

  62. 高新波. " AI 2. 0+"专辑序言. 模式识别与人工智能,Vol.31, No.1, pp. I-IV, 2018. 

  63. 王楠楠, 李洁, 高新波. 人脸画像合成研究的综述与对比分析. 模式识别与人工智能,Vol.31, No.1, pp.37-48, 2018. 

  64. 冯晓峰, 高新波, 宗 汝. 基于稳定匹配的认知无线网络协作物理层安全机制. 电子学报, Vol.46, No.5, pp.1095-1100, 2018. 

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2017
  1. Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li. Graphical Representation for Heterogeneous Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), Vol.39, No.2, pp.301-312, 2017.

  2. Nannan Wang, Shengchuan Zhang, Xinbo Gao, Jie Li, Bin Song, Zan Li. Unified framework for face sketch synthesis. Signal Processing, Vol.130, pp.1-11, 2017.

  3. Haijun Wang, Xinbo Gao, Kaibing Zhang, Jie Li. Fast Single Image Super-resolution Using Sparse Gaussian Process Regression. Signal Processing, Vol.134, pp.52–62, 2017.

  4. Dapeng Tao, Jun Cheng, Xinbo Gao, Xuelong Li, Cheng Deng. Robust Sparse Coding for Mobile Image Labeling on the Cloud. IEEE Trans. on Circuits and Systems for Video Technology (IEEE-TCSVT), Vol.27, No.1, pp.62-72, 2017.  

  5. Shengchuan Zhang, Xinbo Gao, Nannan Wang, Jie Li. Face Sketch Synthesis from a Single Photo-Sketch Pair. IEEE Trans. on Circuits and Systems for Video Technology (IEEE-TCSVT), Vol.27, No.2, pp.275-287, 2017.  

  6. Chunlei Peng, Xinbo Gao, Nanan Wang, Jie Li. Superpixel-based Face Sketch-Photo Synthesis. IEEE Trans. on Circuits and Systems for Video Technology (IEEE-TCSVT), Vol.27, No.2, pp.288-299, 2017.

  7. Yang Liu, Quanxue Gao, Shuo Miao, Xinbo Gao, Feiping Nie, Yunsong Li. A Non-greedy Algorithm for L1-norm LDA. IEEE Trans. on Image Processing (IEEE-TIP), Vol.26, No.2, pp.684-695, 2017.

  8. Yu Zheng, Jianping Fan, Ji Zhang, Xinbo Gao. Hierarchical Leaning of Multi-Task Sparse Metrics for Large-Scale Image Classification. Pattern Recognition, Vol.67, pp.97-109, 2017.

  9. Yanhua Yang, Cheng Deng, Dapeng Tao, Shaoting Zhang, Wei Liu, Xinbo Gao. Latent Max-Margin Multitask Learning With Skelets for 3-D Action Recognition. IEEE Trans. on Cybernetics (IEEE-TCy), Vol.47. No.2, pp.439-448, 2017.

  10. Nannan Wang, Xinbo Gao, Leiyu Sun, and Jie Li. Bayesian Face Sketch Synthesis. IEEE Trans. on Image Processing (IEEE TIP), Vol.26, No.3, pp.1264-1274, 2017.

  11. Yanhua Yang, Cheng Deng, Shanglian Gao, Wei Liu, Dacheng Tao, Xinbo Gao. Discriminative Multi-Instance Multi-Task Learning for 3D Action Recognition. IEEE Trans. Multimedia (IEEE-TMM), Vol.19, No.3, pp.519-529, 2017.

  12. Yu Zheng, Xinbo Gao. Indoor Scene Recognition via Multi-task Metric Multi-kernel Learning from RGB-D Images. Multimedia Tools and Applications, Vol.76, No.3, pp.4427-4423, 2017.

  13. Qi Liu, Xinbo Gao, Lihuo He, Wen Lu. Haze removal for a single visible remote sensing image. Signal Processing, Vol.137, pp33-43, 2017.  

  14. Ya Su, Xinbo Gao, Xu-Cheng Yin. Fast Alignment for Sparse Representation based Face Recognition. Pattern Recognition, Vol.68, pp.211-221, 2017.

  15. Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie. Optimal Mean Two-dimensional Principal Component Analysis with F-norm Minimization. Pattern Recognition, Vol.68, pp.286-294, 2017.

  16. Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li, Jie Li. Coarse-to-Fine Learning for Single-Image Super-Resolution. IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), Vol.28, No.5, pp.1109-1122, 2017.

  17. Dapeng Tao, Dacheng Tao, Xuelong Li, and Xinbo Gao. 2016. Large sparse cone non-negative matrix factorization for image annotation. ACM Transactions on Intelligent Systems and Technology (ACM-TIST), Vol.8, No.3, Article 37 (April 2017), 21 pages.

  18. Wenliang Qiu, Xinbo Gao, Bing Han. A Superpixel-based CRF Saliency Detection Approach. Neurocomputing, Vol.244, pp.19-32, 2017.

  19. Haijun Wang, Xinbo Gao, Kaibing Zhang, JIe Li. Single Image Super-resolution Using Gaussian Process Regression with Dictionary-based Sampling and Student-t Likelihood. IEEE Transactions on Image Processing (IEEE TIP), Vol.26, No.7, pp.3556-3567, 2017.

  20. Jun Yu, Jitao Sang, Xinbo Gao. Machine learning and signal processing for big multimedia analysis. Neurocomputing, Vol.257, pp.1-4, 2017.

  21. Nan Zhu, Cheng Deng, Xinbo Gao. Image sharpening detection based on multiresolution overshoot artifact analysis. Multimedia Tools and Applications, Vol.76, No.15, pp.16563–16580, 2017.

  22. Chunna Tian, Yong Xia, Xiangnan Zhang, Xinbo Gao. Natural Scene Text Detection with MC-MR Candidate Extraction and Coarse-to-Fine Filtering. Neurocomputing, Vol.260, pp.112-122, 2017.

  23. Wei-Shi Zheng, Xinbo Gao, Yuanqing Li, Jianhuang Lai. Special issue on 2016 International Conference on Intelligence Science and Big Data Engineering. Neurocomputing, Vol.269, pp.117-119, 2017.

  24. Kaibing Zhang, Jie Li, Zenggang Xiong, Xiuping Liu, Xinbo Gao. Optimized Multiple Linear Mappings for Single Image Super-resolution. Optics Communications, vol.404, pp.169–176, 2017.

  25. Xiaofeng Feng, Xinbo Gao, Ru Zong. Cooperative Jamming for Enhancing Security of Cognitive Radio Networks with Multiple Primary Users. China Communications, Vol.14, No.7, pp.93-107, 2017.  

  26. Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao. Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), pp.1618-1625, February 4-9, 2017, San Francisco, California, USA.

  27. Qianqian Wang, Quanxue Gao, Xinbo Gao, Feiping Nie. Angle Principal Component Analysis. The 26th International Joint Conference on Artificial Intelligence (IJCAi 2017), pp.2836-2942, August 19-25, Melbourne, Australia.

  28. Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang. Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. The 26th International Joint Conference on Artificial Intelligence (IJCAi 2017), pp.3880-3886, August 19-25, Melbourne, Australia.

  29. Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li. Deep Graphical Feature Learning for Face Sketch Synthesis. The 26th International Joint Conference on Artificial Intelligence (IJCAi 2017), pp.3574-3580, August 19-25, Melbourne, Australia.

  30. Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua. Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding. International Conference on Computer Vision (ICCV2017), October 22-29, 2017, Venice, Italy. Accepted

  31. Bingjie Lin, Wen Lu, Lihuo He, Xinbo Gao. Blind Image Quality Assessment: Using Statistics of Color Descriptors in the DCT Domain. In: Sun Y., Lu H., Zhang L., Yang J., Huang H. (eds) Intelligence Science and Big Data Engineering. IScIDE 2017. Lecture Notes in Computer Science, vol 10559, pp.52-63. Springer, Cham, 2017.

  32. Huibing Dai, Lihuo He, Xinbo Gao, Zhaoqi Guo, Wen Lu. Cascade Error-Correction Mechanism for Human Pose Estimation in Videos. In: Sun Y., Lu H., Zhang L., Yang J., Huang H. (eds) Intelligence Science and Big Data Engineering. IScIDE 2017. Lecture Notes in Computer Science, vol 10559, pp.277-289. Springer, Cham, 2017.  

  33. Ning Lv, Xinbo Gao. A Cascaded Segmentation Method Based on Region Merging to Change Detection in Remote Sensing Images. In: Sun Y., Lu H., Zhang L., Yang J., Huang H. (eds) Intelligence Science and Big Data Engineering. IScIDE 2017. Lecture Notes in Computer Science, vol 10559, pp.379-389. Springer, Cham, 2017.  

  34. Bing Han, Fuyue Chu, Xinbo Gao, Yue Yan. A Multi-size Kernels CNN with Eye Movement Guided Task-Specific Initialization for Aurora Image Classification. CCF Chinese Conference on Computer Vision CCCV 2017: Computer Vision pp 533-544, 2017.

  35. Jingjing Yao, Wen Lu, Lihuo He, Xinbo Gao. Rank Learning for Dehazed Image Quality Assessment. CCF Chinese Conference on Computer Vision CCCV 2017: Computer Vision pp 295-308, 2017.

  36. Nannan Wang, Shengchuan Zhang, Chunlei Peng, Jie Li, Xinbo Gao. Chapter 6 Face Sketch Recognition via Data-Driven Synthesis. Handbook of Biometrics for Forensic Science, Advances in Computer Vision and Pattern Recognition, M. Tistarelli and C. Champod (eds.), pp.127-147, Springer International Publishing AG 2017.

  37. 韩 冰,贾中华,高新波. 改进的主成分分析网络极光图像分类方法. 西安电子科技大学学报,Vol.44, No.1, pp.83-88, 2017. (EI: 20171303500029)

  38. 冯晓峰,高新波,宗汝. 基于稳定匹配的认知无线网络协作物理层安全机制. 第十二届中国电子信息技术年会,《电子学报》,2017.

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2016
  1. Weiping Ni, Xinbo Gao. Despeckling of SAR Image Using Generalized Guided Filter with Bayesian Non-Local Means. IEEE Trans. on Geoscience and Remote Sensing (IEEE-TGRS), Vol. 54, No.1, pp. 567-579, 2016.

  2. Shengchuan Zhang, Xinbo Gao, Nannan Wang, Jie Li. Robust Face Sketch Style Synthesis. IEEE Trans. on Image Processing (IEEE TIP), Vol.25, No.1, pp.220-232, 2016. 

  3. Xi Yang, Xinbo Gao, Dacheng Tao, Xuelong Li and Bing Han. Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection. IEEE Trans. on Neural Networks and Learning Systems (IEEE TNNLS), Vol.27, No.1, pp.32-46, 2016.

  4. Di Wang, Xinbo Gao, Xiumei Wang. Semi-supervised Nonnegative Matrix Factorization via Constraint Propagation. IEEE Trans. on Cybernetics (IEEE-TCyb), Vol.46, No.1, pp.233-244, 2016.  

  5. Haijun Wang, Xinbo Gao, Kaibing Zhang. Single Image Super-resolution Using Active-sampling Gaussian Process Regression. IEEE Trans. on Image Processing (IEEE TIP), Vol.25, No.2, pp.935-948, 2016. 

  6. Cheng Deng, Xu Tang, Junchi Yan, Wei Liu, Xinbo Gao. Discriminative Dictionary Learning with Common Label Alignment for Cross-Modal Retrieval. IEEE Transactions on Multimedia (IEEE TMM), Vol.18, No. 2, pp.208-218, 2016. 

  7. Xiumei Wang, Weifang Liu, Jie Li, Xinbo Gao. A Novel Dimensionality Reduction Method with Discriminative Generalized Eigen-decomposition. Neurocomputing, Vol.173, pp.163-171, 2016.

  8. Shen Junge, Deng Cheng, Gao Xinbo. Attraction recommendation: Towards personalized tourism via collective intelligence. Neurocomputing, Vol.173, pp.789-798, 2016.

  9. Weiping Ni, Xinbo Gao, Ying Wang. Single Satellite Image Dehazing via Linear Intensity Transformation and Local Property Analysis. Neurocomputing, Vol. 175, pp.25-39, 2016.

  10. Souleymane Balla-Arabé, Xinbo Gao, Dominique Ginhac, Fan Yang. Shape-Constrained Level Set Segmentation for Hybrid CPU-GPU Computers. Neurocomputing, Vol.177, pp.40-48, 2016.

  11. Bing Han, Yating Song, Xinbo Gao, Xiumei Wang. Dynamic Aurora Sequence Recognition Using Volume Local Directional Pattern with Local and Global Features. Neurocomputing, Vol.184, 168-175, 2016.

  12. Jun Yu, Dapeng Tao, Richang Hong, Xinbo Gao. Recent Developments on Deep Big Vision. Neurocomputing, Vol.187, pp.103, 2016.

  13. Kaibing Zhang, Xinbo Gao, Jie Li, Hongxing Xia. Single Image Super-resolution Using Regularization of Non-local Steering Kernel Regression. Signal Processing, Vol.123, June 2016, pp.53-63, 2016.

  14. Yanhua Yang, Ruishan Liu, Cheng Deng, Xinbo Gao. Multi-Task Human Action Recognition via Exploring Super-Category. Signal Processing (Elsevier), Vol. 124, pp. 36–44, July 2016.

  15. HaijunWang, XinboGao, Kaibing Zhang, Jie Li. Image Super-resolution Using Non-local Gaussian Process Regression. Neurocomputing, Vol.194, pp.95-106, 2016.

  16. Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li. A Deep Feature Based Framework for Breast Masses Classification. Neurocomputing (Elsveiver), Vol.197, pp.221-231, 2016.

  17. Chongyue Zhao, Xinbo Gao, Ying Wang, Jie Li. Multiple Feature Learning Based Hyperspectral Image Classification With Limited Training Samples. IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), Vol.54, No.7, pp.4052-4062, 2016.

  18. Nan Zhu,Cheng Deng,Xinbo Gao. A Learning-to-rank Approach for mage Scaling Factor Estimation. Neurocomputing, Vol.204, pp.33-40, 2016. 

  19. Yanting Hu, Nannan Wang, Dacheng Tao, Xinbo Gao, Xuelong Li. SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver From Cascaded Linear Regression. IEEE Trans. on Image Processing (IEEE-TIP), Vol.25, No.9, pp.4091-4102, September, 2016. 

  20. Di Wang, Xinbo Gao, Xiumei Wang, Lihuo He, and Bo Yuan. Multimodal Discriminative Binary Embedding for Large-Scale Cross-Modal Retrieval. IEEE Trans. Image Processing (IEEE-TIP), Vol.25, No.10, October, 2016. 

  21. Shen Junge, Shen Jialie, Mei Tao, Gao Xinbo. Landmark Reranking for Smart Travel Guide Systems by Combining and Analyzing Diverse Media. IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE TSMC-S), Vol.46, No.11, pp.92-1504, 2016. 

  22. Chunlei Peng, Xinbo Gao, Nannan Wang, Dacheng Tao, Xuelong Li, Jie Li. Multiple Representations-Based Face Sketch–Photo Synthesis. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol.27, No.7, pp.2201-2215, 2016.

  23. Zhaobin Cui, Ying Wang*, Xinbo Gao, Jie Li, Yu Zheng. Multispectral Image Classification Based on Improved Weighted MRF Bayesian. Neurocomputing, Vol.212, pp.75-87, 2016.

  24. Xinbo Gao, Deyu Meng, Liang Lin, Qiguang Miao. Special Issue on Chinese Conference on Computer Vision 2015. Neurocomputing, Vol.212, pp.1-2, 2016. 

  25. Cheng Deng, Jie Xu, Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li. Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution. IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), Vol.27, N0.12, pp.2472-2485, 2016.

  26. Nannan Wang, Xinbo Gao, Jie Li. Evaluation on Synthesized Face Sketches. Neurocomputing, Vol.214, pp.991-1000, 2016. .

  27. Qianqian Wang, Fang Chen, Quanxue Gao, Xinbo Gao, Feiping Nie. On the Schatten Norm for Matrix based Subspace Learning and Classification. Neurocomputing, Vol.216, pp.192-199, 2016.

  28. Balla-Arabé Souleymane, Xinbo Gao, Dominique Ginhac, Vincent Brost, Fan Yang. Architecture-Driven Level Set Optimization: From Clustering to Subpixel Image Segmentation. IEEE Trans. on Cybernetics (IEEE-TCy), Vol.46, No.12, pp.3183-3194, 2016.

  29. Ru Zong,Xinbo Gao,Xiaofeng Feng. Truthful Double Auction of Spectrum Trading for Femtocell Service Provision. Wireless Communications and Mobile Computing, Vol.16, No.17, pp.2924–2938, 2016.

  30. Yang Liu, Quanxue Gao, Shuo Miao, Xinbo Gao, Feiping Nie, Yunsong Li. A Non-greedy Algorithm for L1-norm LDA. IEEE Trans. on Image Processing (IEEE-TIP), Vol.26, No.2, pp.684-695, 2016.

  31. Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang. Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), pp.1324-1330, February 12–17, 2016, Phoenix, Arizona USA.

  32. Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang. New l1-Norm Relaxations and Optimizations for Graph Clustering. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), pp.1963-1968, February 12–17, 2016, Phoenix, Arizona USA.

  33. Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao and Gang Hua. Ordinal Regression with Multiple Output CNN for Age Estimation. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4920-4928, June 26-July 1, 2016, Las Vegas, Nevada, USA. 

  34. Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao. Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), pp.1860-1866, July 9-15, 2016, New York, USA.

  35. Bing Han, Lixia Zhang, Xinbo Gao, Dacheng Tao and Xiaojing Zhao. Embedded Locality Discriminant GPLVM for Dimensionality Reduction, 2016 International Joint Conference on Neural Networks (IJCNN 2016), pp.2431-2437, July 24-29, 2016, Vancouver, Canada.

  36. Chunlei Peng, Nannan Wang, Xinbo Gao, and Jie Li. Face Recognition from Multiple Stylistic Sketches: Scenarios, Datasets, and Evaluation. ECCV 2016 Workshops, Part I, LNCS 9913, pp. 3–18, 2016.

  37. Yuqian Zhang, Nannan Wang, Shengchuan Zhang, Jie Li, and Xinbo Gao. Fast Face Sketch Synthesis via KD-Tree Search. ECCV 2016 Workshops, Part I, LNCS 9913, pp. 64–77, 2016.

  38. Kai Xu, Nannan Wang, Xinbo Gao. Image Inpainting Based on Sparse Representation with Dictionary Pre-clustering. Chinese Conference on Pattern Recognition, 2016 - Springer, Chapter Pattern Recognition, Volume 663 of the series Communications in Computer and Information Science, pp 245-258.

  39. Decheng Liu, Chunlei Peng, Nannan Wang*, Jie Li, Xinbo Gao. Composite Face Sketch Recognition based on Components. 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), DOI: 10.1109/WCSP.2016.7752734, 2016.

  40. Yihan Liu, Zhaojia Chen, Cheng Deng, Xinbo Gao. Joint Coupled-Hashing Representation for Cross-Modal Retrieval. Proceedings of the International Conference on Internet Multimedia Computing and Service, pp.35-38, ICIMCS 2016, Xi'an, China, August 19 - 21, 2016.

  41. Yuan Fang, Yan Yan, Hanzi Wang, Si Chen, Xinbo Gao. Adaptive Metric Learning with the Low Rank Constraint. Proceedings of the International Conference on Internet Multimedia Computing and Service, pp.61-65, ICIMCS 2016, Xi'an, China, August 19 - 21, 2016.

  42. Yujun Zhang, Jianlong Zhang, Xinbo Gao, Bin Wang. SAR Image Change Detection method of MDS-SRM Based on Hybrid Cascade Merging. Proceedings of the International Conference on Internet Multimedia Computing and Service, pp.76-79, ICIMCS 2016, Xi'an, China, August 19 - 21, 2016.

  43. 王秀美, 丁利杰, 高新波. 一种相似性保持的线性嵌入哈希方法. 西安电子科技大学学报, Vol. 43, No.1, pp.94-98, 2016.

  44. 高新波,沈钧戈. 基于社会媒体的旅游数据挖掘与分析. 《数据采集与处理》, Vol.31, No.1, pp.18-27, 2016. 

  45. 宋亚婷, 韩冰, 高新波. 基于张量动态纹理模型的极光视频分类. 南京大学学报:自然科学版, 第1期 184-193页, 2016. 

  46. 张卫国,高新波,蒋洪波. 香农的贡献及其对后世的影响——香农百年诞辰纪念. 中国计算机学会通信, Vol.12, No.10, pp.70-76, 2016.

  47. 李 英,崔艳鹏,高新波. 一种基于算术编码的文本数据压缩算法. 电子科技大学学报, Vol.45, No.6, pp.929-933, 2016.

  48. Bin Wang, Xinbo Gao, Dacheng Tao, Xuelong Li, and Souleymane Balla-Arabe. Salient Object Segmentation with Shape-constrained Level Set. Ayman El-Baz, Xiaoyi Jiang, Jasjit S. Suri (Edit) Biomedical Image Segmentation Advances and Trends, pp.371-384. CRC Press, 2016.

  49. Gao Guang Rong, Qian Depei, Gao Xinbo, Chapman Barbara, Chen Wenguang. Network and Parallel Computing : 13th IFIP WG 10.3 International Conference, NPC 2016, Xi'an, China, October 28-29, 2016, Proceedings. Lecture Notes in Computer Science (ISSN 0302-9743 ; 9966), 2016.

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2015
  1. Xi Yang, Xinbo Gao, Dacheng Tao, Xuelong Li. An Efficient MRF Embedded Level Set Method for Image Segmentation. IEEE Transactions on Image Processing (IEEE-TIP), Vol.24, No.1, pp.9-21, 2015. 

  2. Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li and Zenggang Xiong. Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution. IEEE Transactions on Image Processing (IEEE TIP-MLM), Vol.24, No.3, pp.846-861, 2015.

  3. Mingjin Zhang, Jie Li, Nannan Wang, Xinbo Gao*. Recognition of Facial Sketch Styles. Neurocomputing, Vol.149, pp.1188-1197, 2015. 

  4. Q.-X. Gao, Y.-F. Huang, Xinbo Gao, W-G. Shen, H.-L. Zhang. A Novel Semi-supervised Learning for Face Recognition. Neurocomputing, Vol.152, pp.69-76, 2015.

  5. Lin Zhao, Xinbo Gao. A Deep Structure for Human Pose Estimation. Signal Processing, Vol.108, pp.36-45, 2015.

  6. Yue Gao, Rongrong Ji, Xinbo Gao, Pierre-Marc Jodoin. Signal Processing and Learning Methods for 3D Semantic Analysis. Signal Processing, Vol.112, pp.1-3, 2015.

  7. Jun Yu, Huiyu Zhou, Xinbo Gao. Machine Learning and Signal Processing for Human Pose Recovery and Behavior Analysis. Signal Processing, Vol.110, pp.1-4, 2015.

  8. S.-C. Zhang, X.-B. Gao, N.-N. Wang, J. Li, M.-J. Zhang. Face Sketch Synthesis via Sparse Representation-based Greedy Search. IEEE Transactions on Image Processing (IEEE-TIP), Vol.24, No.8, pp.2466-2477, 2015.

  9. Weilong Hou, Xinbo Gao, Dacheng Tao, Xuelong Li. Blind Image Quality Assessment via Deep Learning. IEEE Trans. on Neural Networks and Learning Systems (IEEE-TNNLS), Vol.26, No.6, pp.1275-1286, 2015.

  10. X. Yang, Xinbo Gao, Q. Tian. Polar Embedding for Aurora Image Retrieval. IEEE Trans. on Image Processing (IEEE-TIP), Vol.24, No.11, pp.3332-3344, 2015. 

  11. Di Wang, Xinbo Gao, Xiumei Wang. Semi-supervised Constraints Preserving Hashing. Neurocomputing, Vol.167, pp.230-242, 2015.

  12. Bin Wang, Xinbo Gao, Jie Li. A Level Set Method with Shape Priors by Using Locality Preserving Projections. Neurocomputing, Vol.170, pp.188-200, 2015.

  13. Weilong Hou, Xinbo Gao. Saliency-guided deep framework for image quality assessment. IEEE MultiMedia, Vol.22, No.2, pp.46-54, 2015. 

  14. Wen Lu, Ning Mei, Fei Gao, Lihuo He and Xinbo Gao. Blind Image Quality Assessment via Semi-supervised Learning and Fuzzy Inference. Applied Informatics, December 2015, 2:9. 

  15. Z.-X. Niu, G. Hua, Q. Tian, Xinbo Gao. Visual Topic Network: Building an Image Representation for Image Recognition in Social Media. Computer Vision and Image Understanding, Vol.136, pp.3-13, July, 2015. 

  16. Kai Cui, Quanxue Gao, Hailin Zhang, Xinbo Gao, Deyan Xie. Merging Model-based Two-dimensional Principal Component Analysis. Neurocomputing, Vol.168, pp.1198-1206, 2015.

  17. Fei Gao, Dacheng Tao, Xinbo Gao, Xuelong Li. Learning to Rank for Blind Image Quality Assessment. IEEE Trans. on Neural Networks and Learning Systems (IEEE-TNNLS), Vol.26, No.10, pp.2275-2290, 2015.

  18. Chunna Tian, Xinbo Gao, Wei Wei, Hong Zheng. Visual Tracking Based on the Adaptive Color Attention Tuned Sparse Generative Object Model. IEEE Transactions on Image Processing (IEEE TIP), Vol.24, No.12, pp.5236-5248, 2015.

  19. Quanxue Gao, Qianqian Wang, Yunfang Huang, Xinbo Gao, Xin Hong, Hailin Zhang. Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications. IEEE Transactions on Image Processing (IEEE-TIP), Vol.24, No.12, pp.5684-5695, 2015.

  20. Lin Zhao, Xinbo Gao, Dacheng Tao, Xuelong Li. Tracking Human Pose using Max-margin Markov Models. IEEE Transactions on Image Processing (IEEE TIP), Vol.24, No.12, pp.5274-5287, 2015.

  21. Lin Zhao, Xinbo Gao, Dacheng Tao, Xuelong Li. Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking. IEEE Trans. on Neural Networks and Learning Systems (IEEE-TNNLS), Vol.26, No.12, pp.3176-3186, 2015.

  22. Songhang Ye, Cheng Deng, Jie Xu, and Xinbo Gao. Coupled Fisher Discrimination Dictionary Learning for Single Image Super-resolution. International Conference on Acoustics, Speech and Signal Processing (ICASSP2015), pp.1196-1200, 19–24 April 2015. 

  23. Xu Tang, Cheng Deng, Xinbo Gao. Discriminative Latent Feature Space Learning for Cross-Modal Retrieval. International Conference on Multimedia Retrieval (ICMR15), pp.507-510, June 23–26, 2015, Shanghai, China. 

  24. D. Wang, Xinbo Gao, X.-M. Wang, L.-H. He. Semantic Topic Multimodal Hashing for Cross-media Retrieval. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), pp.3890-3896, Buenos Aires, Argentina, 2015. 

  25. C. Deng, Z.-T. Lv , W. Liu, J.-Z. Huang, D.-C. Tao, Xinbo Gao. Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), pp.3438-3444, Buenos Aires, Argentina, 2015. 

  26. Yin Guangxue, An Lingling, Gao Xinbo, Tao Dacheng. Feature regions based on graph optimization for robust reversible watermarking. Proceedings of 2015 IEEE International Conference on Image Processing (ICIP), Pages: 4758 - 4762, DOI: 10.1109/ICIP.2015.7351710, 2016.

  27. Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhiyong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang. Intelligence Science and Big Data Engineering. Image and Video Data Engineering - 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part I. Lecture Notes in Computer Science 9242, Springer 2015, ISBN 978-3-319-23987-3.

  28. Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhiyong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques - 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II. Lecture Notes in Computer Science 9243, Springer 2015, ISBN 978-3-319-23861-6.

  29. Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhiyong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang. Preface. 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015.

  30. Jingjing Qi, Wen Lu, Shuyu Yang, and Xinbo Gao. Natural Image Dehazing Based on L0 Gradient Minimization. Proceedings of Internation Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), Part I, LNCS 9242, pp. 603–610, 2015.

  31. Shengchuan Zhang, Nannan Wang, Jie Li, and Xinbo Gao. A Heterogeneous Image Transformation Based Synthesis Framework for Face Sketch Aging. Proceedings of Internation Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), Part I, LNCS 9242, pp. 82–89, 2015.

  32. Shuyu Yang, Wen Lu, Lihuo He, and Xinbo Gao. A Novel Image Quality Assessment for Color Distortions. Proceedings of Internation Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), Part I, LNCS 9242, pp. 482–492, 2015. 

  33. Hongqiang Xu, Wen Lu, Yuling Ren, and Xinbo Gao. Image Quality Assessment Based on Mutual Information in Pixel Domain. Proceedings of Internation Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), Part I, LNCS 9242, pp. 503–512, 2015. 

  34. Changcheng Jia, Lihuo He, Wen Lu, Lei Hao, and Xinbo Gao. Efficient Video Quality Assessment via 3D-Gradient Similarity Deviation. Proceedings of Internation Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), Part I, LNCS 9242, pp. 493–502, 2015. 

  35. Bing Han, Xinbo Gao, Hui Liu, and Ping Wang. Auroral Oval Boundary Modeling Based on Deep Learning Method. Proceedings of Internation Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), part II, LNCS 9243, pp. 96–106, 2015. 

  36. Xu Tang, Yanhua Yang, Cheng Deng, and Xinbo Gao. Coupled Dictionary Learning with Common Label Alignment for Cross-Modal Retrieval. Proceedings of Internation Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), Part I, LNCS 9242, pp. 154–162, 2015. 

  37. Yuling Ren, Wen Lu, Lihuo He, and Xinbo Gao. Blind Image Quality Assessment in Shearlet Domain. Proceedings of Internation Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), Part I, LNCS 9242, pp. 472–481, 2015.

  38. Lijie Ding, Xiumei Wang, and Xinbo Gao. Compressed Hashing for Neighborhood Structure Preserving. Proceedings of Internation Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), Part I, LNCS 9242, pp. 240–248, 2015. 

  39. Tieniu Tan, Xinbo Gao, Hongbin Zha, Xilin Chen, Liang Wang, Qiguang Miao. Preface. 1st Chinese Conference on Computer Vision (CCCV 2015), September 18, 2015, Xian, China. (EI: Tieniu Tan, Xinbo Gao, Hongbin Zha, Xilin Chen, Liang Wang, Qiguang Miao. Preface. 1st Chinese Conference on Computer Vision (CCCV 2015), September 18, 2015, Xian, China.

  40. Shengxi Li, Ying Wang, Jie Li, and Xinbo Gao. Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields. Proceedings of China Conference on Computer Vision (CCCV 2015), Part I, CCIS 546, pp. 168–178, 2015.

  41. Lijie Ding, Xiumei Wang, and Xinbo Gao. A Discriminative Framework for Hashing. Proceedings of China Conference on Computer Vision (CCCV 2015), Part II, CCIS 547, pp. 257–265, 2015. 

  42. Zhonghua Jia, Bing Han and Xinbo Gao. 2DPCANet: Dayside Aurora Classification Based on Deep Learning. Proceedings of China Conference on Computer Vision (CCCV 2015), Part II, CCIS 547, pp. 323–334, 2015. 

  43. Xiaofei He, Xinbo Gao. Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 9243, p V, 2015, Intelligence Science and Big Data Engineering: Big Data and Machine Learning Techniques - 5th International Conference, IScIDE 2015, Revised Selected Papers.

  44. Kaibing Zhang, Hongxing Xia, Haijun Wang, Chunman Yan, Xinbo Gao. Single image super-resolution with one-pass algorithm and local neighbor regression. 2015 IEEE 16th International Conference on Communication Technology (ICCT), pp.930-935, Hangzhou, China, 18-20 Oct., 2015. 

  45. 王秀梅,韩冰,高新波,仇文亮,宋亚婷. 基于环形局部方向模式的弧状极光序列检测. 计算机科学与探索,Vol.5, No.5, pp.586-593, 2015.

  46. 焦志成,李洁,王颖,高新波. 浅层模糊K均值图像分类网络. 计算机科学与探索,2015,Vol.9, No.8, pp.18-1024, 2015. 

  47. 高新波, 王楠楠, 彭春蕾, 李程远. 基于三元空间融合的人脸图像模式识别. 模式识别与人工智能, Vol.28, No.9, pp.811-821, 2015. 

  48. 彭羊平, 宁贝佳, 高新波. 基于非负邻域嵌入和非局部正则化的单帧图像超分辨率重建算法. 计算机科学,Vol.42, No.11, pp.104-107, 2015. 

  49. 叶鑫晶, 李洁, 王颖, 高新波. 基于边缘邻域的乳腺肿块特征提取算法. 数据采集与处理,  Vol.30, No.5, pp.993-1002, 2015.

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2014
  1. Nannan Wang, Dacheng Tao, Xinbo Gao, Xuelong Li, Jie Li. A Comprehensive Survey to Face Hallucination. International Journal of Computer Vision (VISI), Vol. 106, No. 1, pp.9-30, January 2014.

  2. Lin Zhao, Xinbo Gao, Yuan Yuan, Dapeng Tao. Sparse Frontal Face Image Synthesis from an Arbitrary Profile Image. Neurocomputing, Vol. 128, Vol. 3, pp. 466-475, March 27, 2014.

  3. Jifei Yu, Xinbo Gao, Dacheng Tao, Xuelong Li, Kaibing Zhang. A Unified Learning Framework for Single Image Super-resolution. IEEE Trans. on Neural Networks and Learning Systems (IEEE-TNNLS), Vol.25, No.4, pp.780-792, 2014.

  4. Jianqiang Yan, Xinbo Gao. Detection and Recognition of Text Superimposed in Images Base on Layered Method. Neurocomputing (Elsevier), Vol.134, Special Issue : IScIDE 2011, pp.3-14, 2014.

  5. Cheng Deng, Rongrong Ji, Dacheng Tao, Xinbo Gao, Xuelong Li. Weakly Supervised Multi-Graph Learning for Robust Image Reranking. IEEE Trans. on Multimedia (IEEE TMM), Vol. 16, No. 3, pp.785-795, 2014. 

  6. Bin Wang, Xinbo Gao, Dacheng Tao, Xuelong Li. A Nonlinear Adaptive Level Set for Image Segmentation. IEEE Trans. on Cybernetics, Vol. 44, No.3, pp.418-428, 2014.

  7. Souleymane Balla-Arabé, Xinbo Gao. Multi-Kernel Implicit Curve Evolution for Selected Texture Regions Segmentation in VHR Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 8, pp. 5183-5192, 2014.

  8. Ling Shao, Xinbo Gao, Houqiang Li. Image restoration and enhancement: Recent advances and applications. Signal Processing (Elsevier), Vol.103, pp.1-5, 2014. 

  9. Souleymane Balla-Arabé, Xinbo Gao. Geometric Active Curve for Selective Entropy Optimization. Neurocomputing, Vol.139,  Special Issue : IScIDE 2012,  pp.65-76, 2014.

  10. Xi Yang, Xinbo Gao, Jie Li, Bing Han. A Shape-initialized and Intensity-adaptive Level Set Method for Auroral Oval Segmentation. Information Sciences (ISI), 277(2014)794–807, 2014. 

  11. Xi Yang, Xinbo Gao, Dacheng Tao, Xuelong Li. Improving Level Set Method for Fast Auroral Oval Segmentation. IEEE Transactions on Image Processing (IEEE T-IP), Vol.23, No.7, pp.2854-2865, 2014.

  12. Ying Wang, Jie Li, Xinbo Gao. Latent Feature Mining of Spatial and Marginal Characteristics for Mammographic Mass Classification. Neurocomputing, Vol.144. pp.107-118, 2014.  

  13. Junge Shen, Zhiyong Cheng, Jialie Shen, Tao Mei, Xinbo Gao. The Evolution of Research on Multimedia Travel Guide Search and Recommender Systems. MultiMedia Modeling (MMM2014), Part II, Lecture Notes in Computer Science, Volume LNCS 8326, pp.227-238, 2014. 

  14. Jie Xu, Cheng Deng, Xinbo Gao, Dacheng Tao, Xuelong Li. Image Super-Resolution Using Multi-layer Support Vector Regression. 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP2014), Florence, Italy, May 4-9, pp.5799-5803, 2014.  

  15. Zhenxing Niu, Gang Hua, Xinbo Gao, Qi Tian. Semi-supervised Relational Topic Model for Weakly Annotated Image Recognition in Social Media. IEEE Conference on Computer Vision and Pattern Recognition (CVPR2014), pp.4321-4328, Columbus, Ohio, July 24-27, 2014. 

  16. Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li. Multi-view Representation based Face Sketch-Photo Synthesis. International Conference on Internet Multimedia Computing and Service (ICIMCS’14), pp.307312, July 10–12, 2014, Xiamen, Fujian, China. 

  17. Aiman Mousa, Xinbo Gao, Mohamed Elmahalawy. Single Image Super-resolution Reconstruction with Neural Network and Gaussian Process Regression.  International Conference on Internet Multimedia Computing and Service (ICIMCS’14), pp.386-390, July 10–12, 2014, Xiamen, Fujian, China.

  18. Weilong Hou, Xinbo Gao. Be Natural: A Saliency-guided Deep Framework for Image Quality. The 2014 IEEE International Conference on Multimedia & Expo (ICME2014), pp.1-6, (DOI: 10.1109/ICME.2014.6890168), Chengdu, China, July 14-18, 2014.

  19. A. S. Ismail, Xinbo Gao, Cheng Deng. SAR Image Classification based on Texture Feature Fusion. Summit and International Conference on Signal and Information Processing (ChinaSip2014), pp.153-156, Xi'an, China, July 9-13, 2014. 

  20. Zhenxing Niu, Shiliang Zhang, XInbo Gao, Qi Tian. Personalized Visual Vocabulary Adaption for Social Image Applications. Proceedings of the ACM International Conference on Multimedia (ACM MM2014), pp.993-996, 2014.  

  21. Xinbo Gao, Zhiliang Wang. Message from the ivrIoT2014 Workshop Chairs. 2014 IEEE International Workshop on Intelligent Sensing and Processing for Image/Video/Radar in Internet of Things (ivrIoT2014), September 11-13, 2014. 

  22. Xinbo Gao. Invited Speech: Learning Image Quality Evaluation. 2014 IEEE International Conference on Computer and Information Technology (CIT), 11-13 Sept. 2014, Page(s):xlv - xlvii. 

  23. Xinbo Gao. Invited Speech: Image Quality Assessment; 2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 8-10 Nov. 2014, Page(s): li - liv, Guangdong,
    DOI: 10.1109/3PGCIC.2014.6. 

  24. Aiman Mousa and Xinbo Gao. Fast Remote Sensing Image Registration Algorithm Using Spatial Masks. 2014 IEEE International Conference on Computer and Information Technology (CIT2014), Workshop on ivrIoT 2014,  pp.888-893, 2014. 

  25. Nan Zhu, Xinbo Gao and Cheng Deng. Image Scaling Factor Estimation Based on Normalized Energy Density and Learning to Rank. 2014 IEEE International Conference on Secuity, Pattern Analysis, and Cybernetics (SPAC), pp.197-202, Oct. 18-19, 2014, Wuhan, Hubei, China. 

  26. Chunna Tian, Xiangnan Zhang, Xinbo Gao, Wei Wei. PornographicImage Classification Based on Top Down Color-saliency Based BoW Representation.  2014 IEEE International Conference on Secuity, Pattern Analysis, and Cybernetics (SPAC), pp.273-278, Oct. 18-19, 2014, Wuhan, Hubei, China. 

  27. 高新波,王笛,王秀美. 一种潜在信息约束的非负矩阵分解方法. 数据采集与处理,Vol.29, No.1, pp.11-18, 2014.

  28. 颜建强,高新波. 一种基于Google的OCR结果校对新方法. 计算机学报, Vol.37, No.6, pp.1261-1267, 2014.6. 

  29. 韩冰, 廖谦, 高新波. 基于空时极向LBP的极光序列事件检测. 软件学报, Vol.25, No.9, pp.2172-2179, 2014. 

  30. 高飞,高新波. 主动特征学习及其在盲图像质量评价中的应用. 计算机学报,Vol.37, No.10, pp.2227-2234, 2014. 

  31. 高新波, 阔永红, 田春娜. 数字信号处理. 高等教育出版社, 2015 (教育部高等教育电子电气基础课程指导分委员会推荐用书)

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2013
  1. N.-N. Wang, J. Li, D. Tao, X. Li, X.-B. Gao. Heterogeneous Image Transformation. Pattern Recognition Letter (PRL), Vol.34, No.4, pp.77-84, 2013.

  2. J.-G. Shen, T. Mei, X.-B. Gao. Improved Video Archaeology: More About Tracing Your Online Videos. Multimedia Tools and Applications (MTAP), Vol.63, No.2, pp.461-483, 2013.

  3. M. Wang, X.-B. Gao, Y. Yang, Caifeng Shan. Indexing of Large-Scale Multimedia Signals. Signal Processing Special Issue on Multimedia Indexing, Vol.93, No.8, 2109-2110, 2013.

  4. Q.-X. Gao, J. Liu, H. Zhang, X.-B. Gao, K. Li. Joint Global and Local Structure Discriminant Analysis. IEEE Trans on Information Forensics and Security (IEEE T-IFS), Vol.8, No.4, pp.626-635, 2013.

  5. X. Wang, Q.-Q. Pei, X.-B. Gao and H. Li. Reversible Data Hiding By Combining Local And Global Search. International Journal of Innovative Computing, Information and Control, ISSN 1349-4198, Vol.9, Issue 2, pp.693-704, 2013.

  6. S. Balla-Arabé, X.-B. Gao, B. Wang. A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method. IEEE Trans. on Cybernetics (IEEE TC), Vol.43, No.3, pp.910-920, 2013. 

  7. B.-J. Ning, X.-B. Gao. Multi-frame Image Super-resolution Reconstruction Using Sparse Co-occurrence Prior and Sub-pixel Registration. Neurocomputing (Elsevier), Vol.117, No.1, pp.128-137, 2013. 

  8. Q.-X. Gao, H. Zhang, X.-B. Gao, Y. Liu, J. Cheng. Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction. IEEE Trans. on Image Processing (IEEE T-IP), Vol.22, No.7, pp.2521-2531, July, 2013.

  9. S. Balla-Arabé, X.-B. Gao, B. Wang. GPU Accelerated Edge-Region Based Level Set Evolution Constrained by 2D Gray-scale Histogram. IEEE Trans. on Image Processing (IEEE T-IP), Vol.22, No.7, pp.2688-2698, July, 2013.

  10. B. Xiao, X.-B. Gao, D. Tao, and X. Li. Biview Face Recognition. Pattern Recognition, Vol.46, No.7, pp.1906-1919, July, 2013.

  11. W. Hou, X.-B. Gao, D. Tao, X.-L. Li. Visual Saliency Detection Using Information divergence. Pattern Recognition (PR), Vol.46, No.10, pp.2658-2669, 2013.

  12. X. Wang, Q.-Q. Pei, X.-B. Gao, and Z. Guo. Reversible Image Watermarking Using Hybrid Prediction. The Era of Interactive Media, pp.545-555, 2013 – Springer.

  13. J.-Y. Xie, K. Hone, W.-X. Xie, X.-B. Gao, Y. Shi, X.-H. Liu. Extending Twin Support Vector Machine Classifier for Multi-category Classification Problems. Intelligent Data Analysis, Vol. 17, No.4, pp.649–664, 2013.

  14. N.-N. Wang, D. Tao, X.-B. Gao, X. Li, J. Li. Transductive Face Sketch-Photo Synthesis. IEEE Trans. on Neural Networks and Learning System (IEEE T-NNLS), Vol.24, No.9, pp.1364-1376, 2013.

  15. K.-B. Zhang, X.-B. Gao, D. Tao, X. Li. Single Image Super-resolution with Multi-scale Similarity Learning. IEEE Trans. on Neural Networks and Learning System (IEEE T-NNLS), Vol.24, No.10, pp.1648-1659, 2013.

  16. X.-B. Gao, F. Gao, D. Tao, X. Li. Universal Blind Image Quality Assessment Metrics via Natural Scene Statistics and Multiple Kernel Learning. IEEE Trans. on Neural Networks and Learning System (IEEE T-NNLS), Vol.24, No.12, pp.2013-2026, 2013.

  17. J.-G. Shen, T. Mei, Q. Tian, X.-B. Gao. Image Search Reranking with Multi-latent Topical Graph. 2013 IEEE International Symposium on Circuits and Systems (ISCAS 2013), May 19-23, 2013, Beijing, China.

  18. L.-L. An, G. Yin, X.-B. Gao. Graph Matching with Geometric Constraints for Near-duplicated Image Retrieval. Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service (ICIMC2013) , pp.174-177, Huangshan, China, Aug. 17 - 19, 2013

  19. N. Mei, F. Gao, W. Lu, X.-B. Gao. Blind Image Quality Assessment with Semi-supervised Learning and Fuzzy Logic. 2013 International Conference on Intelligence Science and Big Data Engineering (IScIDE2013), LNCS 8261, pp.184-191, July 31-August 2, 2013.

  20. S. Balla-Arabe, X.-B. Gao, L. Xu. Texture-Aware Fast Global Level Set Evolution. 2013 International Conference on Intelligence Science and Big Data Engineering (IScIDE2013), LNCS 8261, pp.529-537, July 31-August 2, 2013.

  21. B. Wang, X.-B. Gao, J. Li, X. Li, D. Tao. A Level Set with Shape Priors Using Moment-based Alignment and Locality Preserving Projections. 2013 International Conference on Intelligence Science and Big Data Engineering (IScIDE2013), LNCS 8261, pp.697-704, July 31-August 2, 2013.

  22. H. Liu, X.-B. Gao, B. Han. An Automatic MSRM Method with a Feedback Based on Shape Information for Auroral Oval Segmentation. 2013 International Conference on Intelligence Science and Big Data Engineering (IScIDE2013),LNCS 8261, pp.748-755, July 31-August 2, 2013.

  23. J.-L. Zhang, X.-B. Gao. A Hybrid Encryption Scheme for Scalable Video Coding based on H.264. 2013 International Conference on Intelligence Science and Big Data Engineering (IScIDE2013), pp.708-711, 2013.

  24. K.-B. Zhang, X.-B. Gao, D. Tao and X. Li. Image Super-resolution via Non-local Steering Kernel Regression Regularization. International Conference on Image Processing (ICIP2013). Melbourne, Australia, pp.943-946, 2013.

  25. J.-L. Wang, C. Deng, W. Liu, R. Ji, X. Chen, X.-B. Gao. Query-dependent visual dictionary adaptation for image reranking. Proceedings of the 21st ACM international conference on Multimedia (ACM MM), Pages 769-772 , 2013.

  26. C. Deng, R. Ji, W. Liu, D. Tao, X.-B. Gao. Visual Reranking through Weakly Supervised Multi-Graph Learning. International Conference on Computer Vision (ICCV 2013), Sydney, Australia, 2013.

  27. H.-Y. Peng, C. Deng, L. An, X.-B. Gao, D. Tao. Learning to Multimodal Hash for Robust Video Copy Detection. International Conference on Image Processing (ICIP2013). Melbourne, Australia, 2013.

  28. 赵    林, 高新波, 田春娜. 正面人脸图像合成方法综述. 中国图象图形学报, Vol.18, No.1, pp.1-10, 2013

  29. 杨    曦, 李    洁, 韩    冰高新波. 一种分层小波模型下的极光图像分类算法. 西电学报,Vol.40, No.2, pp.24-32, 2013

  30. 宗    汝,高新波,彭建华. 临近空间平台自组织网络优化部署的博弈算法. 西安电子科技大学学报(自然科学版),Vol.40, No.5, pp.188-193, 2013.

  31. 韩    冰,杨    辰,高新波*. 融合显著信息的LDA极光图像分类. 软件学报, Vol.24, No.11, pp.2758-2766, 2013.

  32. 冯晓峰,祁    飞,吕宗庭,异构无线网络联合呼叫接纳控制优化算法. 西安电子科技大学学报(自然科学版), Vol.40, No.5, pp.194-199, 2013.

  33. 高新波, 王楠楠. 异质人脸图像合成. 《机器学习及其应用》章节,pp.79-94, 清华大学出版社,2013

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2012
  1. X.-B. Gao, K. Zhang, et al. Image Super-Resolution with Sparse Neighbor Embedding. IEEE Trans. Image Processing (IEEE-TIP), Vol.21, No.7, pp.3149-3205, 2012.

  2. Y. Su, Y. Fu, X.-B Gao, Q. Tian. Discriminant Learning through Multiple Principal Angles for Visual Recognition. IEEE Trans. on Image Processing (IEEE-TIP), Vol.21, No.3, pp.1381-1390, 2012.

  3. X.-B Gao, K.-B. Zhang, et al. Joint Learning for Single Image Super-resolution via Coupled Constraint. IEEE Trans. on Image Processing (IEEE-TIP), Vol.21, No.2, pp.469-490, 2012.

  4. C.-N. Tian, G. Fan, X.-B. Gao, Q. Tian. Multi-view Face Recognition: From TensorFace to V-TensorFace and K-TensorFace. IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics (IEEE-SMC-B). Vol.42, No.2, pp.320-333, 2012.  

  5. X.-B. Gao, N.-N. Wang, et al. Face Sketch-Photo Synthesis and Retrieval Using Sparse Representation. IEEE Trans. on Circuits Systems for Video technology (IEEE T-CSVT), Vol.22, No.8, pp.1213-1226, 2012

  6. Ya Su, Xinbo Gao, Xuelong, Dacheng Tao. Multivariate Multi-linear Regression. IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics. Vol.42, No.6, pp.1560-1573, Dec. 2012.

  7. Kaibing Zhang, Xinbo Gao, Dacheng Tao, Xuelong Li. Learning Local and Non-Local Priors for Single Image Super-resolution. IEEE Trans. Image Processing (IEEE-TIP), Vol.21, No,11, pp.4544-4556, 2012. 

  8. C. Chen, X.-B. Gao, et al. Concurrent Transmission Based on Channel Quality in Ad Hoc Networks: A Game Theoretic Approach. IEICE Transactions on Information and Systems, Vol.E95-D, No.2, pp.462-471, 2012.

  9. L.-L. An, X.-B Gao, et al. Robust Lossless Data Hiding Using Clustering and Statistical Quantity Histogram. Neurocomputing (Elsevier), Vol.77, No.1, pp.1-11, 2012.

  10. L.-L. An, X.-B Gao, et al. Content-Adaptive Reliable Robust Lossless Data Embedding. Neurocomputing (Elsevier), Vol.77, No.2, pp.1-11, 2012.

  11. S. Balla-Arabé, X.-B. Gao. Image Multi-Thresholding by Combining the Lattice Boltzmann Model and a Localized Level Set Algorithm. Neurocomputing (Elsevier), Vol. 93, No.1, pp.106-114, 2012.

  12. K.-B. Zhang, G.-W. Mu, Y. Yuan, X.-B. Gao, D. Tao. Video Super-resolution with 3D Adaptive Normalized Convolution. Neurocomputing (Elsevier), Vol.94, No.10, pp.140-151, 2012.

  13. Z.-X. Niu, X.-B Gao, et al. Real-World Trajectory Extraction for Attack Pattern Analysis in Soccer Video. Pattern Recognition, Vol.45, No.5, pp.1937-1947, 2012.

  14. B.-J. Ning, J. Li, X.-B Gao. Fast Algorithms of Image Fusion for Super-Resolution Reconstruction from Multiple Images with Random Shifts. Chinese Journal of Electronics, Vol.21, No.1, pp.69-72, 2012.

  15. X. Chen, J. Liang, X. Qu, Y. Hou, S. Zhu, D. Chen, X.-B. Gao, J. Tian. Mapping of bioluminescent images onto CT volume surface for dual-modality BLT and CT imaging. Journal of X-ray Science and Technology. Vol.20, No.1, pp.31-44, 2012.

  16. X. Chen, D. Yang, X. Qu, H. Hu, J. Liang, X.-B. Gao, and J. Tian. Comparisons of Hybrid Radiosity-Diffusion Model and Diffusion Equation for Bioluminescence Tomography in Cavity Cancer Detection. Journal of Biomedical Optics, Vol. 17, No. 6, pp.066015-1-9, 2012.

  17. X.-S. Zhang, X.-B. Gao. Twin Support Vector Machines and Subspace Learning Methods for Microcalcification Clusters Detection. Engineering Applications of Artificial Intelligence (Elsevier), Vol.25, No.6, pp.1062-1072, 2012.

  18. C. Chen, X.-B. Gao, Q. Pei, and X. Li. BNE-based concurrent transmission considering channel quality and its PSO searching strategy in Ad Hoc networks. Journal of Systems Engineering and Electronics, Vol. 23, No. 5, pp.649–660, October 2012.

  19. X.-B. Gao, X. Wang. Dimensionality Reduction with Latent Variable Model. Frontiers of Electrical and Electronic Engineering, Vol.7, No.1, pp.116-126, 2012.

  20. Y. Yang, X.-B. Gao, Z. Gao, X. Wang. An Classification-based Adaptive Decision Feedback Equalizer for Rayleigh Multipath Channel. Journal of Computational Information Systems, Vol.8, No. 2, pp.869-876, 2012.

  21. C. Deng, Y. Zhang, X.-B. Gao. Robust Video Fingerprinting Using Local Spatio-Temporal Features. International Conference on Computing, Networking and Communications ICNC2012-COG, pp.350-353, Maui, Hawaii, USA, January 30-Febrary 2, 2012.

  22. B. Han, X.-B. Gao, X. Li, D. Tao. A Biological Inspired Features Based Saliency Map. International Conference on Computing, Networking and Communications ICNC2012-COG, pp.371-375, Maui, Hawaii, USA, 2012.

  23. R. Zong, X.-B. Gao, X. Wang, Z. Lv. Deployment of High altitude platforms Based on Learning Algorithm. Workshop on Computing, Networking and Communications associated with the International Conference on Computing, Networking and Communications, pp.311-315, Maui, Hawaii, USA, January 30-Febrary 2, 2012.

  24. J. Xie, J. Lei, W. Xie, X.-B. Gao, Y. Shi and X. Liu. Novel Hybrid Feature Selection Algorithms for Diagnosing Erythemato-Squamous Diseases. Health Information Science, Lecture Notes in Computer Science, Volume 7231/2012, pp.173-185, 2012.

  25. Z.-X. Niu, G. Hua, X.-B. Gao and Q. Tian. Context Aware Topic Model for Scene Recognition. Proceedings of Computer Vision and Pattern Recognition (CVPR2012), pp.2743-2750, Providence, Rhode Island, 16-21 June, 2012,  USA.

  26. K.-B. Zhang, X.-B. Gao, et al. Multi-scale Dictionary for Single Image Super-resolution. Proceedings of Computer Vision and Pattern Recognition (CVPR2012), pp.1114-1121, Providence, Rhode Island, 16-21 June, 2012,  USA. 

  27. L.-H. He, D. Tao, X. Li, X.-B. Gao. Sparse Representation for Blind Image Quality Assessment.Proceedings of Computer Vision and Pattern Recognition (CVPR2012), pp.1146-1153, Providence, Rhode Island, 16-21 June, 2012,  USA.

  28. L.-H. He, D. Wang, X.  Li, D. Tao, X.-B. Gao, and F. Gao. Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment. International Conference on Neural Information Processing (ICONIP2012), Part II, Lecture Notes in Computer Science, LNCS 7664, pp. 401-408, 2012.

  29. F. Gao, D. Tao, X. Li, X.-B. Gao, and L.-H. He. Local Structure Divergence Index for Image Quality Assessment. International Conference on Neural Information Processing (ICONIP2012), Part V, Lecture Notes in Computer Science, LNCS 7667, pp.337-344, 2012. 

  30. S. Balla-Arabé, X.-B. Gao. A Multiphase Entropy-Based Level Set Algorithm for MR Breast Image Segmentation Using Lattice Boltzmann Model. 2012 Sino-foreign-interchange Workshop on Intelligence Science & Intelligent Data Engineering (IScIDE2012), Oct.15-17, 2012, Nanjing, China.

  31. W.-P. Ni, X.-B. Gao, W.-D. Yan. SAR Image Segmentation based on Gabor Filter Bank and Active Contours. 2012 Sino-foreign-interchange Workshop on Intelligence Science & Intelligent Data Engineering (IScIDE2012), Oct.15-17, 2012, Nanjing, China.

  32. 宁贝佳, 冀峰, 高新波. 具有随机位移的多帧图像超分辨重建快速算法. 西安电子科技大学学报,Vol.39, No.1, pp.105-109, 2012.  

  33. 王颖, 高新波, 李洁, 王秀美. 基于PSVM的主动学习肿块检测模型. 计算机研究与发展,Vol.49, No.3, pp.572-578, 2012.

  34. 陈金广, 李洁, 高新波. 双重迭代变分贝叶斯自适应卡尔曼滤波算法. 电子科技大学学报, Vol.41, No.3, pp.359-363, 2012.

  35. 牛振兴, 高新波. 社会媒体内容分析. 中国计算机学会通讯,第四期,pp.14-19, 2012.4

  36. 王斌, 李洁, 高新波. 一种基于边缘与区域信息的先验水平集图像分割方法. 计算机学报, Vol. 35, No.5, pp.1067-1072, 2012.

  37. 王秀美, 高新波, 李洁. 一种监督的GP-LVM分类模型. 计算机学报, Vol.35, No.12, pp. 2661-2667, 2012.

  38. 冀峰, 高新波, 谢松云.Mean-shift滤波和直方图增强的图像弱边缘提取. 中国图象图形学报, Vol.17, No.6, pp.651-656, 2012. 

  39. 谢娟英, 郭文娟, 谢维信, 高新波. 基于密度RPCL的K-means算法. 西北大学学报(自然科学版), Vol.42, No.4, pp.570-576, 2012. 

  40. 冀峰, 安玲玲, 高新波. 基于 多重元胞自动机的图像水印加密算法, 自动化学报, Vol.38, No.11, pp.1824-1830, 2012.

[top]
 

2011
 
  1. X.-B. Gao, J.-G. Chen, and et al. Multi-sensor Centralized Fusion without Measurement Noise Covariance by Variational Bayesian Approximation. IEEE Trans. on Aerospace and Electronic Systems (IEEE-TAES), Vol.47, No.1, pp.718-727, 2011

  2. J. Li, G. Han, J. Wen, X.-B. Gao*. Robust Tensor Subspace Learning for Anomaly Detection. International Journal of Machine Learning and Cybernetics (IJMLC), Vol.2, No.2, pp.89-98, 2011.  

  3. X.-B. Gao, R. Fu, and et al. Image Segmentation for Aurora Index Extraction. Computer Vision and Image Understanding, Vol.115, No.3, pp.390-402, 2011

  4. J.-G. Chen, J. Li, X.-B. Gao. Single-Step-Lag OOSM Algorithm Based on Unscented  Transformation. Science China, Information Science, Vol.54, No.3, pp.664-673, 2011

  5. X.-L. Chen, X.-B Gao*, and et al. Qualitative Simulation of Photon Transport in Free-Space Based on Monte Carlo Method and Its Parallel Implementation. International Journal of Biomedical Imaging, Vol. 2010, DOI:10.1155/2010/650298

  6. K. Peng, X.-B. Gao*, and et al. Study on Photon Transport Problem Based on the Platform of Molecular Optical Simulation Environment. International Journal of Biomedical Imaging, 2010. DOI:10.1155/2010/913434

  7. X.-B. Gao, Z.-X. Niu, et al. Non-Goal Scene Analysis for Soccer Video.  Neurocomputing (Elsevier), Vol.74, No.4, pp.540-548, 2011

  8. X.-B. Gao, B. Wang, et al. A Relay Level Set Method for Automatic Image Segmentation. IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics, Vol.41, No.2, pp.518-525, April 2011.

  9. X.-B. Gao, X.-M. Wang, et al. Supervised Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics, Vol.41, No.2, pp.42-434, April 2011

  10. X.-B. Gao, X.-M. Wang, et al. Transfer Latent Variable Model Learning Based on Divergence Analysis. Pattern Recognition (Elsevier) Special Issue on Semi-Supervised Learning for Visual Content Analysis and Understanding, Vol.44, No.10-11, pp.2358-2366, 2011

  11. J. Wen, X.-B. Gao, et al. Incremental Pair-wise Discriminant Analysis based Visual Tracking. Neurocomputing (Elsevier), Vol.74, No.1-3, pp.428-438, 2011.

  12. Y. Wang, D.-C. Tao, X.-B. Gao, et al. Feature Embedded Vector-valued Contour-based Level Set Method with Relaxed Shape Constraint for Mammographic Mass Segmentation. Pattern Recognition (Elsevier), Vol.44, No.9, pp.1903-1915, 2011.

  13. F. Zhao, L.-C. Jiao, H.-Q. Liu and X.-B. Gao. A Novel Fuzzy Clustering Algorithm with Non-local Adaptive Spatial Constraint for Image Segmentation. Signal Processing (Elsevier), Vol.91, No.4, pp.988-999, 2011.

  14. K. Peng, X.-B. Gao, et al. Study on Photon Transport Problem Based on the Platform of Molecular Optical Simulation Environment. International Journal of Biomedical Imaging, Vol.2010, DOI:10.1155/2010/913434, 2011

  15. X.-L. Chen, X.-B. Gao*, et al. Qualitative Simulation of Photon Transport in Free-Space Based on Monte Carlo Method and Its Parallel Implementation. International Journal of Biomedical Imaging, DOI:10.1155/2010/650298, 2011

  16. K.-B. Zhang, X.-B. Gao, et al. Partially Supervised Neighbor Embedding for Example-based Image Super-resolution. IEEE Journal of Selected Topics in Signal Processing Special Issue on Recent Advances in Video Processing for Consumer Displays, 2011

  17. X.-B. Gao, L.-L. An, et al. Lossless Data Embedding Using Generalized Statistical Quantity Histogram. IEEE Trans. on Circuits and Systems for Video Technology (IEEE T-CSVT), Vol.21, No.8, pp.1061-1070, 2011.

  18. L.-H. He, X.-B. Gao, W. Lu, et al. Image Quality Assessment based on S-CIELAB Model. Signal, Image and Video Processing, Vol.5, No.3, pp.283-290, 2011.

  19. C. Chen, X.-B. Gao, Q.-Q. Pei. A Delay Guaranteed and Services Differentiated MAC Protocol Based on Location and Reservation In Near-Space. Journal of Convergence Information Technology (ICIT), 2011

  20. J. Li, G. Han, J. Wen, X.-B. Gao*. Robust Tensor Subspace Learning for Anomaly Detection. International Journal of Machine Learning and Cybernetics (IJMLC), 2011

  21. J.-Y. Xie, S. Jiang, W. Xie, X.-B. Gao. An Efficient Global K-means Clustering Algorithm. Journal of Computers, Vol.6, No.2, pp.271-279, Feb 2011.

  22. Y. Su, X.-B. Gao. Iterative Shape Refinement in AAM. International Journal of Image and Graphics, Vol. 11, No.1, pp.137-151, 2011.

  23. J.-Q. Yan, J. Li, X.-B. Gao*. Chinese Text Location under Complex Background Using Gabor Filter and SVM. Neurocomputing, Vol.74, No.17, pp.2998-3008, 2011.

  24. X.-B. Gao, Q. Wang, and et al. Zernike Moment-based Image Super Resolution. IEEE Trans. on Image Processing (IEEE-TIP), Vol. 20, No.10, pp.2738-2747, 2011.

  25. L.-H. He, W. Lu, X.-B. Gao, and et al. A Novel Metric Based on MCA for Image Quality. Vol.9, No.5, pp.743-757, International Journal of Wavelets, Multiresolution and Information Processing, Vol.9, No.5, pp.743-757, 2011. 

  26. X.-B. Gao, B. Han. Visual information analysis and retrieval. International Journal of Computer Mathematics, Vol.88, No.18, pp.3781-3783, December 2011. 

  27. Y.R. Wang, J. Li, R. Fu, B. Han. Dayside corona aurora classification based on X-grey level aura matrices and feature selection. International Journal of Computer Mathematics, Vol.88, No.18, pp.3852-3863, December 2011.

  28. B. Han, X.-B. Gao, L. Tcheang, V. Walsh. Saliency based on cortex-like mechanisms. International Journal of Computer Mathematics, Vol.88, No.18, pp.3942-3952, 2011.

  29. J.-G. Shen, T. Mei, X.-B. Gao. Improved Video Archaeology: More About Tracing Your Online Videos. Multimedia Tools and Applications (MTAP), 2011. DOI 10.1007/s11042-011-0922-y

  30. K. Peng, X.-B. Gao*, and et al. Graphics Processing Unit Parallel Accelerated Solution of the Discrete Ordinates for Photon Transport in Biological Tissues. Applied Optics, Vol. 50, No.21, pp.3808-3823, 2011

  31. X.-L. Chen, J. Liang, H. Zhao, X. Qu, D. Chen, Q. Zhang, X.-B. Gao, and J. Tian. Modeling and Reconstruction of Optical Tomography for Endoscopic Applications: Simulation Demonstration. Applied Physics Letters, Vol.99, No.7, 073702 (2011)

  32. F. Ji, X.-B. Gao, and et al. Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm. Lecture Notes in Computer Science, Vol.6676, pp.395-401, 2011.

  33. N.-N. Wang, X.-B. Gao, and et al. Face Sketch-Photo Synthesis under Multi-dictionary Sparse Representation Framework. The 6th International Conference on Image and Graphics (ICIG2011), 12-15 August, 2011, Hefei, China, pp.82-87, 2011.

  34. Z.-X. Niu, G. Hua, X.-B. Gao, Q. Tian. Spatial-DiscLDA for Visual Recognition. IEEE Computer Vision and Pattern Recognition (CVPR) 2011, Colorado Springs, US,  pp.1769-1776.

  35. Q.-Y. Caitian, Y.-Z. Li, X.-B. Gao, C. Chen. Relay Searching for Distributed Space-Time Coding in Decentralized Ad hoc Networks. The 6th International ICST Conference on Communications and Networking (ChinaCom2011), August 17-19, 2011, Harbin, China. 

  36. X.-Y. Wang, X.-B. Gao, R. Zong. Energy-Efficient Deployment of Airships for High Altitude Platforms: A Deterministic Annealing Approach. IEEE GLOBECOM 2011 - Wireless Communications Symposium - IEEE GLOBECOM 2011 - Wireless Communications Symposium, Houston, USA, 2011.

  37. J. Zhang, N. Wang, Xinbo Gao, and et al. Face Sketch-photo Synthesis based on Support Vector Regression. IEEE International Conference on Image Processing (ICIP 2011), pp.1149-1152, September 11-14, 2011, Brussels, Belgium.

  38. G. Mu, Xinbo Gao, and et al. Single Image Super Resolution with High Resolution Dictionary. IEEE International Conference on Image Processing (ICIP 2011), pp.1165-1168, September 11-14, 2011, Brussels, Belgium.

  39. F. Gao, X.-B. Gao, and et al. Universal NR-IQA Metrics Based on Local Dependency. Asia Conference on Pattern Recognition (ACPR2011), pp.298-302, Beijing, China, 2011.

  40. Souleymane Balla-Arabé, B. Wang, X.-B. Gao. Level -Set Region Based Image Segmentation Using Lattice Boltzmann Method. International Conference on Computational Intelligence and Security (CIS2011), 2011.

  41. X. Wang, Q.-Q. Pei, X.-B. Gao. Reversible Image Watermarking Using Hybrid Prediction. 2011 Pacific-Rim Conference on Multimedia (PCM 2011), Sydney, Australia, December 20-22, 2011.

  42. [教材] 高新波,李洁,田春娜.现代图像分析. 西安:西安电子科技大学出版社,2011

  43. 高新波. 创新型人才是怎样炼成的?中国计算机学会通讯,Vol.7, No.2(总第60期), pp.92-94, 2011

  44. 陈金广,李洁,高新波. 一种迭代收缩非线性状态约束滤波算法. 西安电子科技大学学报(自然科学版),Vol.38, No.1, pp.104-109, 2011

  45. 陈晨, 高新波, 李晓记, 李长乐. 衰落信道下基于非合作博弈的Ad hoc协作并行传输方案.  电子与信息学报, Vol.33, No.3, pp.734-738, 2011.

  46. 王颖, 李洁, 高新波. 基于MAC 的乳腺X-线图象中肿块的自适应检测方法. 电子学报,Vol.39, No.3, pp.525-530, 2011. 

  47. 彭宽, 高新波, 赵恒, 王晓蕊, 屈晓超, 陈多芳, 陈雪利, 梁继民. 基于点加权最小二乘无网格法的光学成像光传输模型求解. 生物物理学报, Vol.27, No.4, pp.373-381, 2011.4

  48. 颜建强, 高新波, 田春娜, 李英, 李亮. 多媒体信息服务中色情图像检测算法. 中国体视学与图像分析, Vol.16, No.1, pp.75-83, 2011

  49. 陈金广, 李洁, 高新波. 基于UT变换的单步滞后无序量测算法. 中国科学E辑,Vol.41, No.5, pp.638-648, 2011.

  50. 蔡秀梅, 范九伦, 高新波. 基于斐波那契数列设计的指纹图像方向滤波模板. 模式识别与人工智能,Vol.24, No.3, pp.360-367, 2011. 

  51. 李广东, 高新波, 赵力. 一种基于静帧特征分析的视频检索方法. 数据采集与处理,Vol.26, No.3, pp.335-338, 2011. 

  52. 李亮,田春娜,高新波,魏巍,李东阳. 基于稀疏语义表示的不良图像检测算法. 中国科技论文在线, 201108-388.

  53. HOU Weilong, GAO Xinbo, HE Lihuo, GAO Fei. An image quality metric based on bionic models. 中国科技论文在线, 201108-500. 

  54. 陈金广, 李洁, 高新波. 等式状态约束下的粒子滤波算法. 电子科技大学学报, Vol.40, No.4, pp.596-601, 2011.

[top]

2010
  1. C.-H Hu, X.-B. Wang, Z.-C. Yang, J.-F. Zhang, Y.-Y. Xu, X.-B. Gao. A Geometry Study on the Capacity of Wireless Networks Via Percolation. IEEE Transactions on Communications (IEEE-TC), Vol.58, No.10, pp.2916-2925, 2010

  2. X.-L. Chen, X.-B. Gao*, et al. 3D Reconstruction of Light Flux Distribution on Arbitrary Surfaces from 2D Multi-photographic Images. Optics Express, Vol,18, No.19, pp.19876-19893, 2010

  3. X.-B. Wang, Z. Li, P.-C. Xu, Y.-Y. Xu, X.-B. Gao, H.-H Chen. Spectrum Sharing in Cognitive Radio Networks: An Auction-based Approach. IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics (IEEE-TSMC-B), Vol.40, No.3, pp.587-596, June 2010

  4. B. Wang, X.-B. Gao, et al. A Unified Tensor Level Set for Image Segmentation. IEEE Trans. on System, Man, and Cybernetics Part B: Cybernetics (IEEE-TSC-B), Vol. 40, No.3, pp.857-867, 2010.

  5. X.-B. Gao, Y. Wang, and et al. On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection. IEEE Trans. on Information Technology in Biomedicine (IEEE-TITB), Vol.14, No.2, pp.266-273,  2010

  6. X.-B. Gao, C. Deng, and et al. Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions. IEEE Trans. on Systems, Man and Cybernetics-Part C: Applications and Reviews (IEEE-TSMC-C), Vol.40, No.3, pp.278-286, 2010

  7. X.-B. Gao, Y. Su, and et al. A Review of Active Appearance Models. IEEE Trans. on System, Man, and Cybernetics Part C: Applications and Reviews (IEEE-TSMC-C), Vol.40, No.2, pp.145-158, 2010.

  8. X.-M. Wang, X.-B. Gao, and et al. Semi-Supervised Gaussian Process Latent Variable Model with Pairwise Constraints. Neurocomputing (Elsevier), Vol.73, No.10-12, pp.2186-2195, 2010.

  9. F. Zhao, L.-C. Jiao, H.-Q. Liu, X.-B. Gao and M.-G. Gong. Spectral Clustering with Eigenvector Selection based on Entropy Ranking.  Neurocomputing (Elsevier), Vol.73, No.10-12, pp.1704-1717, 2010.

  10. X. Li, Y. Hu,  X.-B. Gao, and et al. An Adaptive Edge-preserving Regularized Super Resolution Reconstruction Algorithm.  Signal Processing (Elsevier), Vol.90, No.2, pp.405-414, 2010.

  11. X.-B. Gao, B. Xiao, and et al. A Survey of Graph Edit Distance. Pattern Analysis and Application (Spring), Vol.13, No.1, pp.113-129, 2010.

  12. W. Lu, K. Zeng, D. Tao, Y. Yuan, X.-B. Gao. No-reference Image Quality Assessment in Contourlet Domain. Neurocomputing (Elsevier), Vol.73, No.4-6, pp.784-794, 2010.

  13. X.-B Gao, C. Deng, and et al. Local Feature Based Geometric-Resistant Image Information Hiding. Cognitive Computation (Springer), Vol.2, No.2, pp.68-77, 2010

  14. J. Wen, X.-B. Gao, and et al. Incremental Tensor Biased Discriminant Analysis: A New Color-based Visual Tracking Method. Neurocomputing (Elsevier), Vol.73, No.4-6, pp.827-839, 2010.

  15. W. Lu, X.-L. Li, X.-B. Gao, and et al. A Perceptual Video Quality Assessment Metric. Cognitive Computation (Springer), Vol.2, No.2, pp.120-131, 2010. 

  16. B. Xiao, X.-B. Gao, and et al. Photo-Sketch Synthesis and Recognition Based on Subspace Learning.  Neurocomputing (Elsevier), Vol.73, No.4-6, pp.840-852, 2010.

  17. Q. Wang, J. Liang, Z.-J. Hu, H.-H. Hu, H. Zhao, H.-Q. Hu, X.-B. Gao, H. Yang. Spatial Texture Based Automatic Classification of Dayside Aurora in All-Sky Images. Journal of Atmospheric and Solar-Terrestrial Physics, Vol.72, No.5-6, pp.498-508, 2010.

  18. C. Deng, X.-B Gao, et al. Local Histogram based Geometric Invariant Image Watermarking. Signal Processing, Vol.90, No.12, pp.3256-3264, 2010.

  19. X.-B. Gao, R. Zong. HAPS Ad Hoc Networks: Key Theory and Technology. IEEE COMSOC MMTC E-Letters, Vol.5, No.5, pp.48-50, September, 2010.

  20. R. Fu, X.-B. Gao, et al. An Integrated Aurora Image Retrieval System Aurora Eye. Journal of Visual Communication and Image Representation (JVCI), Vol.21, No.8, pp.787–797, 2010

  21. X.-L. Chen, X.-B. Gao*, et al. A Generalized Free-space Photon Transport Model Based on the Influence Analysis of Camera Lens Diaphragm. Applied Optics, Vol.49, No.29, pp.5654-5664, 2010

  22. C. Deng, X.-B. Gao, et al. Histogram Modification Based Robust Image Watermarking Approach. International Journal of Multimedia Intelligence and Security (IJMIS), Vol.1, No.2, pp.153-168, 2010

  23. J.-G. Chen, J. Li, X.-B. Gao. Improved Quadrature Kalman Filter with Large Number of Quadrature Point. Journal of Information & Computational Science, Vol.7, No.5, pp.1097-1103, 2010

  24. W.-G. Zhang, S. Wang, et al. Image denoising using bandelets and hidden Markov tree models. Chinese Journal of Electronics, Vol. 19, No. 4, pp. 646-650, 2010

  25. Z.-X. Niu, Q. Tian, X.-B. Gao. Real-World Trajectory Extraction for Attack Pattern Analysis in Soccer Video. Proceedings of ACM International Conference on Multimedia 2010 (MM2010), 25-29 October 2010, Firenze, Italy.

  26. J.-G. Shen, T. Mei, X.-B. Gao. Automatic Video Archaeology: Tracing Your Online Videos. Workshop of Social Media, in conjunction of ACM MM 2010.

  27. Y. Su, Y. Fu, Q. Tian, and X.-B. Gao. Cross-database Age Estimation Based on Transfer Learning. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1270-1273, March 14-19, 2010, Dallas, TX.

  28. Shipeng Li, Xinbo Gao, Nicu Sebel. CIVR 2010 - 2010 ACM International Conference on Image and Video Retrieval: Foreword. Proceedings of the ACM International Conference on Image and Video Retrieval, pp.259-265, July 5-7, 2010, Xi'an, China.

  29. B. Han, X.-B. Gao, Vincent Walsh, Lili Tcheang. A Saliency Map Method with Cortex-like Mechanisms and Sparse Representation. Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR2010), pp.259-265, July 5-7, 2010, Xi'an, China. 

  30. Y.-R Wang, X.-B. Gao, et al. Dayside Corona Aurora Classification Based on X-Gray Level Aura Matrices. Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR2010), pp.282-287, July 5-7, 2010, Xi'an, China.

  31. X.-B Gao, W. Lu, et al. Image Quality Assessment and Human Visual System. Visual Communications and Image Processing (VCIP2010), edited by Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, Guo Wei, Proc. of SPIE Vol. 7744, 77440Z-1-10.

  32. W. Lu, J. Li, D.-C., X.-B., X.-L Li. A New Quality Metric for Compressed Images based on DDCT. Visual Communications and Image Processing (VCIP2010), edited by Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, Guo Wei, Proc. of SPIE Vol. 7744, 77440C-1-8.

  33. F. Gao, X.-B Gao, et al. An Image Quality Assessment Metric with No Reference Using Hidden Markov Tree Model. Visual Communications and Image Processing (VCIP2010), edited by Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, Guo Wei, Proc. of SPIE Vol. 7744, 774410-1-7.

  34. Lingling An, Xinbo Gao, Cheng Deng, Feng Ji. Robust Lossless Data Hiding: Analysis and Evaluation. The 2010 International Conference on High Performance & Simulation (HPCS), pp.512-516, June 28- July 2, 2010, Caen, France. 

  35. R. Fu, X.-B. Gao, Y.-J. Jian. Patchy Aurora Image Segmentation Based on ALBP and Block Threshold. International Conference on Pattern Recognition (ICPR2010), pp.3384-3387, Istanbul, Turkey, 2010

  36. X.-B. Gao, N. Liu, W. Lu, et al. Spatio-temporal salience based Video Quality Assessment. in proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.1501 -1505, October 10-13, 2010, Istanbul, Turkey

  37. J.-Q. Yan, D.-C. Tao, C.-N. Tian, X.-B. Gao and X.-L. Li. Chinese Text Detection and Location for Images in Multimedia Messaging Service. in proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.3896-3901, October 10-13, 2010, Istanbul, Turkey

  38. X.-L. Li, L.-H. He, W. Lu, X.-B. Gao and D.-C. Tao. A Novel Image Quality Metric Based on Morphological Component Analysis. in proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.1449-1454, October 10-13, 2010, Istanbul, Turkey

  39. J.-Y. Xie, W.-X. Xie, C.-X. Wang, X.-B. Gao. A Novel Hybrid Feature Selection Method Based on IFSFFS and SVM for the Diagnosis of Erythemato-Squamous Diseases. JMLR: Workshop and Conference Proceedings, 11 (2010): 142-151 (Workshop on Applications of Pattern Analysis)

  40. X.-Y. Wang, X.-B. Gao, R. Zong, P. Cheng. An Optimal Model and Solution of Deployment of Airships for High Altitude Platforms. International Conference on Wireless Communication and Signal Processing, 2010

  41. P. Cheng, A.-J. Guo, Y.-Y. Xu, X.-Y. Wang, X.-B. Gao. A Game Approach for Dynamic Resource Allocation in Cognitive Radio Networks. International Conference on Wireless Communication and Signal Processing, 2010

  42. H.-N. Chang, X.-B. Gao, R. Zong, C. Chen, J. Cao. Energy-Efficient Coding-Aware Routing in Energy-Constrained Wireless Networks. The 18th International Symposium on Intelligent Signal Processing and Communications Systems, pp.29-32, December 06-08, 2010, Chengdu, China

  43. Y. Yang, R. Zong, X.-B. Gao and J. Cao. Channel Modeling for High Altitude Plaetform: A Review. The 18th International Symposium on Intelligent Signal Processing and Communications Systems, pp.37-40, December 06-08, 2010, Chengdu, China

  44. L.-L. An, X.-B. Gao, C. Deng. Reliable Embedding for Robust Reversible Watermarking. The 2nd International Conference on Internet Multimedia Computing and Service, pp.57-60, Harbin, China, Dec. 30-31, 2010

  45. 高凌君, 高新波, 梁继民. 结合样本选择和AdaBoost的日侧冕状极光检测算法. 中国图象图形学报A, Vol.15, No.1, pp.116~121, 2010.

  46. 张新生, 高新波, 王颖, 张士杰. 乳腺X线图像的增强与噪声抑制研究. 红外与毫米波学报, 2010, Vol.29, No.1, pp.27-31.

  47. 陈    晨, 高新波, 裴庆祺. 基于串扰的无线传感器网络可用带宽估计算法. 华南理工大学学报(自然科学版), Vol.38, No.1, pp.54-58, 2010.  

  48. 陈    晨, 高新波. 一种无线传感器网络移动性支持自适应MAC协议. 西电学报,Vol.37, No.2, pp.279-284, 2010.

  49. 邓    成, 李    洁, 高新波. 基于仿射协变区域的抗几何攻击图像水印算法. 自动化学报, Vol.36, No.2, pp.221-228, 2010.

  50. 陈金广, 李    洁, 高新波. 改进的基于几何约束的加权被动定位算法. 光电工程, Vol.37, No.2, pp.16-21, 2010.

  51. 陈    晨, 高新波, 张素兵, 范科峰. 无线局域网中TXOP动态分配方法. 计算机工程, Vol.36, No.7, pp.11-13, 2010.

  52. 陈金广, 高新波. 基于分段RTS平滑的凸组合航迹融合算法. 计算机科学, Vol.37, No.4, pp.175-178, 2010.

  53. 田春娜, 李    洁, 高新波. 人脸非线性视角流形建模方法. 北京交通大学学报,Vol.34, No.2, pp.62-66, 2010.

  54. 苏    亚, 高新波, 王    博, 王    宇. 基于Gabor相位和局部二值模式的AAM纹理表示. 系统工程与电子技术,Vol.32, No.5, pp.150-154, 2010.

  55.     蓉,高新波. 基于形态学成分分析的静态极光图像分类算法. 光子学报,Vol.39, No.6, pp.1034-1039, 2010.

  56.     静, 李    洁, 高新波. 一种结合粒子滤波和张量子空间的目标跟踪算法. 光子学报Vol.39, No.6, pp.10347-1052, 2010.

  57. 陈金广, 李洁, 高新波. 基于最小化测量误差的被动定位算法. 西安电子科技大学学报(自然科学版),Vol.37, No.3, pp.447-453, 2010.

  58. 王秀美, 高新波, 张乾坤, 宋国乡. 一种基于局部保持的隐变量模型. 模式识别与人工智能,Vol.23, No.3, pp.369-375, 2010. 

  59. 牛振兴, 李    洁, 高新波. 足球视频的语义颜色提取与语义镜头分割.  西电学报,Vol.37, No.4, pp.613-618, 2010

  60. 谢娟英, 张    琰, 谢维信, 高新波. 一种新的密度加权粗糙K-均值聚类算法. 山东大学学报(理学版), Vol. 45, No.7, pp.1-6, 2010

  61. 陈    晨, 高新波, 裴庆祺, 吕    宁. 一种无线传感器网络中抵御拒绝睡眠攻击策略. 江苏大学学报, Vol. 31, No.5, pp.570-575, 2010

  62. 李国宏, 裴庆祺, 郭    彤, 高新波. 浅谈留学生思想政治教育的必要性. 时代教育, No.2, pp.18-19, 2010

  63. 李国宏, 裴庆祺, 郭    彤, 高新波. 高校来华留学生的管理及对策. 教师, No. 60, pp.11-12, 2010

[top]

2009
  1. Xinbo Gao, X. Li, Jun Feng, and D. Tao. Shot-based Video Retrieval with Optical Flow Tensor and HMM. Pattern Recognition Letters (Elsevier), Vol.30, No.2, pp.140-147, 2009

  2. Xinbo Gao, Yimin Yang, X. Li, D. Tao. Discriminative optical flow tensor for video semantic analysis. Computer Vision and Image Understanding, Vol.113, No. 3, pp.372-383, 2009

  3. X. Li, D. Tao, Xinbo Gao, Wen Lu. A new natural image quality evaluation metric. Signal Processing, Vol.89, No.4, pp.548-555, 2009

  4. Xinsheng Zhang, Xinbo Gao, Ying Wang. MCs detection with combined image features and twin support vector machines. Journal of Computer, Vol.4, No.3, pp.215-221, 2009

  5. Cheng Deng, Xinbo Gao, X. Li, D. Tao. A local Tchebichef moments-based robust image watermarking. Signal Processing, Vol.89, No.8, pp.1531-1539, 2009

  6. Bing Xiao, Xinbo Gao, D. Tao, X. Li. A new approach for face recognition by sketches in photos. Signal Processing, Vol.89, No.8, pp.1576-1588, 2009

  7. Xinbo Gao, Lingling An, X. Li, D. Tao. Reversibility improved lossless data hiding. Signal Processing,Vol.89, No.10, pp.2053-2065, 2009  

  8. Yongzhao Li, Xinbo Gao. Impact of Co-Channel MIMO Interference on Desired Downlink Receiver Using STBC. Chinese Journal of Electronics, Vol.18, No.5, pp.539-544, 2009

  9. Xinbo Gao, Wen Lu, D. Tao, X. Li. Image Quality Assessment Based on Multiscale Geometric Analysis. IEEE Trans. on Image Processing, Vol.18, No.7, pp.1409-1423, 2009

  10. Xinsheng Zhang, Xinbo Gao, Ying Wang. Twin Support Tensor Machines for MCs Detection. Journal of Electronics (China), Vol. 26, No.3, pp.318-325, 2009

  11. Zhang Wenge, Liu Fang, Jiao Licheng, Gao Xinbo. SAR image despeckling based on edge detection and nonsubsampled second generation bandelets. Journal of Systems Engineering and Electronics, Vol.20, No.3, pp.519-526, 2009

  12. Xinbo Gao, Y. Su, and et al. Gabor Texture in Active Appearance Models. Neurocomputing (Elsevier), Vol.72, No.13-15, pp.3174-3181, 2009

  13. Xinbo Gao, Jinxiu Li, and Bing Xiao. A Face Recognition Scheme Based on Embedded Hidden Markov Model and Selective Ensemble Strategy. International Journal of Image Graphics, Vol.9, No.3, pp.355-367, 2009

  14. Xueli Chen, Xinbo Gao, Xiaochao Qu, Jimin Liang, Lin Wang, Anikitos Garofalakis, Jorge Ripoll, and Jie Tian. A study of photon propagation in free-space based on hybrid radiosity-radiance theorem. Optics Express, Vol.17, No.18, pp.16266-16280, 2009

  15. Xinbo Gao, Chunna Tian. Multi-view face recognition based on tensor subspace analysis and view manifold modeling. Neurocomputing, Vol.72, No.16-18, pp.3742-3750, 2009

  16. Xinbo Gao, Bing Xiao, D. Tao, and X. Li. A Comparative Study of Three Graph Edit Distance Algorithms. A. Abraham et al. (Eds.): Foundations on Computational Intelligence (Springer), Vol. 5, SCI 205, pp. 223–242, 2009

  17. D.-C. Tao, X.-L. Li, W. Lu, Xinbo Gao. Reduced-Reference IQA in Contourlet Domain . IEEE T-SMC-Part B. Vol.39, No.6, pp.1623-1627, 2009

  18. Ya Su, D. Tao, X. Li, Xinbo Gao.Texture Representation in AAM using Gabor Wavelet and Local Binary Patterns. Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics, pp.3374-3379, San Antonio, USA, Oct., 2009

  19. Jing Wen, Xinbo Gao, X. Li, D. Tao. Incremental Learning of Weighted Tensor Subspace for Visual Tracking. Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics, pp.3788-3793, San Antonio, USA, Oct., 2009

  20. Bin Wang, Xinbo Gao, D. Tao, X. Li and Jie Li. The Gabor-Based Tensor Level Set Method for Multiregional Image Segmentation. The 13th International Conference on Computer Analysis of Images and Patterns, LNCS 5702, pp.987-994, Munster, Germany, 2009

  21. Ying Wang, Xinbo Gao, X. Li, D. Tao and Bin Wang. Embedded Geometric Active Contour with Shape Constraint for Mass Segmentation. The 13th International Conference on Computer Analysis of Images and Patterns, LNCS 5702, pp.995-1002, Munster, Germany, 2009

  22. Cheng Deng, Jie Li, Meng Jia, Xinbo Gao. Sinusoidal Signals Pattern Based Robust Video Watermarking in the 3D-CWT Domain. 2009 Fifth International Conference on Information Assurance and Security, pp.96-99, Xi'an, China.

  23. Wenbo Ning, Jinzhou Li, Jie Li, Xinbo Gao*. 3D Medical Image Processing and Analyzing System. Demo Session of ACCV2009, Xi'an, China, Sept. 23-27, 2009. 

  24. Huan Jin, Xinbing Wang, Hui Yu, Youyun Xu, Yunfeng Guan, Xinbo Gao. C-MAC: a MAC protocol supporting cooperation in wireless LANs. 2009 IEEE Wireless Communications and Networking Conference, pp. 6, 2009

  25. Lingling An, Xinbo Gao, Cheng Deng, and Feng Ji. Reversible Watermarking Based on Statistical Quantity Histogram. P. Muneesawang et al. (Eds.): PCM 2009, LNCS 5879, pp. 1300–1305, 2009

  26. 吕新荣, 高新波, 邹华. 医学图像体数据多平(曲)面重建. 系统仿真学报. Vol.21, No.1, pp.166-169, 2009

  27. 路文,高新波,曾凯,何立火. 一种基于HWD的图像质量评价测度. 红外与毫米波学报. Vol.28, No.1, pp.72-76, 2009 

  28. 邹华,高新波,吕新荣. 层次包围盒与GPU相结合的光线投射算法. 计算机辅助设计与图形学学报,Vol.21, No.2, pp.172-178, 2009

  29. 李金秀,高新波,杨越,肖冰. 一种基于E-HMM选择性集成人脸识别算法. 电子与信息学报,Vol.31, No.2, pp.288-292, 2009

  30. 路文,高新波,王体胜. 一种基于小波分析的部分参考型图像质量评价方法. 电子与信息学报,Vol.31, No.2, pp.335-338, 2009

  31. 邹华,高新波,吕新荣. 基于层次包围盒的纹理体绘制加速算法. 武汉大学学报·信息科学版,Vol.34, No.3, pp.1321-325, 2009 

  32. 陈金广,高新波. 观察哨和只测角传感器航迹融合算法. 计算机工程与应用, Vol.45, No.9, pp.134-137, 2009 

  33. 胡彦婷,高新波,路文, 鲁宝华.  基于感兴趣区域的幅型比变换新方法. 光子学报,Vol.38, No.3, pp.729-735, 2009

  34. 王秀美,高新波. 基于判别特征加权的GPLVM算法. 计算机科学, Vol.36, No.3, pp.189-192,  2009 

  35. 邓成,高新波. 基于SIFT特征区域的抗几何攻击图像水印算法. 光子学报,Vol.38, No.4, pp.1005-1010, 2009

  36. 王斌,高新波. 基于水平集接力的图像自动分割方法. 软件学报,Vol.20, No.5, pp.1185-1193,  2009 

  37. 杨越,高新波,李金秀. 一种运动自适应的帧速率上转换算法. 中国图象图形学报,Vol.14, No.5, pp.891-896, 2009

  38. 邓成,李洁,高新波. 基于局部Tchebichef矩的鲁棒图像水印算法. 光电子.激光, Vol.20, No.6, pp.796-801, 2009

  39. 路文,高新波,何立火,张花. 基于内容预分析的环路滤波算法. 通信学报,Vol.30, No.6, pp.95-102, 2009

  40. 胡彦婷,高新波,路文,王体胜.一种基于视觉感知的非线性幅型比变换方法.中国图象图形学报,Vol.14, No.6, pp.1082-1087, 2009

  41. 温静,李洁,高新波. 基于增量张量子空间学习的自适应目标跟踪. 电子学报, Vol.37, No.7, pp.1618-1623, 2009

  42.  
  43. 吕新荣,高新波,邹华. 基于医学影像的血管快速提取与可视化. 中国生物医学工程学报,Vol.28, No.4, pp.527-534, 2009

  44. 张文革, 刘 芳, 高新波, 焦李成. 一种自适应多尺度积阈值的图像去噪算法. 电子与信息学报,  Vol.31, No.8, pp. 1779-1785, 2009 

  45. 梁承志,高新波,王向华,邹华. 空间跳跃加速的GPU光线投射算法. 中国图形图像学报, Vol. 14, No. 8, pp.1684-1688, 2009

  46. 吕新荣,高新波,邹华. 改进的血管中心路径提取算法. 华中科技大学学报, Vol.38, No.9, pp.56-59, 2009

  47. 肖冰,李洁,高新波. 一种度量图像相似性和计算图编辑距离的新方法. 电子学报,Vol.37, No.10, pp.2205-2210, 2009

  48. 陈晨,高新波,裴庆祺.  基于模糊控制的Hurst调节自适应MANET移动模型. 通信学报, Vol.30,No.10A, pp.132-138,2009

[top]

2008
  1. Xinbo Gao, Juanjuan Zhong, Jie Li, Chunna Tian. Face sketch synthesis algorithm based on machine learning. IEEE Transactions on Circuits and Systems for Video Technology, Vol.18, No.4, pp.487-496, April, 2008

  2. Xinbo Gao, Bing Xiao,  D.-C.Tao, X.-L.Li. Image categorization: graph edit distance + edge direction histogram. Pattern Recognition (Elsevier). Vol.41, No.10, pp.3179-3191, October, 2008

  3. Xinbo Gao, Wen Lu, X.-L.Li, D.-C.Tao. Wavelet-based contourlet in quality evaluation of digital images. Neurocomputing  (Elsevier), Vol.72, No.1-3, pp.378-385, 2008

  4. Xinbo Gao, Juanjuan Zhong, D.-C.Tao, X.-L.Li. Local face sketch synthesis learning. Neurocomputing (Elservier), Vol.71, No.10-12, pp.1921-1930, June 2008

  5. Xinrong Lv, Xinbo Gao, Hua Zou. Interactive curved planar reformation based on snake model. Computerized Medical Imaging and Graphics (Elsevier). Vol.32, No.8, pp.662-669, 2008

  6. Xinbo Gao, Yue Yang, Bing Xiao. Adaptive frame rate up-conversion based on motion classification. Signal Processing  (Elsevier), Vol.88, No.12, pp.2979-2988, 2008

  7. Wen Lu, Xinbo Gao, D.-C.Tao, X.-L.Li. A wavelet-based image quality assessment method. International Journal of Wavelets, Multiresolution and Information Processing (World Scientific). Vol.6, No.4, pp.541-551, 2008

  8. Bing Xiao, Xinbo Gao, D.-C.Tao, X.-L.Li. HMM-based graph edit distance for image indexing. International Journal of Imaging Systems and Technology (Wiley), Vol.18, No.2-3, pp.209-218, 2008

  9. Ying Wang, Xinbo Gao. Mass detection algorithm based on support vector machine and relevance feedback. Frontiers of Electrical and Electronic Engineering in China, Vol.3, No.3, pp.267-273, 2008

  10. Xinrong Lv, Xinbo Gao and Hua Zou. B-spline based curved planar reformation of medical volume data.  Journal of Information & Computational Science, Vol.5, No.2, pp.545-552, 2008

  11. Xinsheng Zhang, Xinbo Gao, Ying Wang. Microcalcification clusters detection with Twin Support Tensor Machines. Journal of Information & Computational Science, Vol.5, No.3, pp.1305-1314, 2008

  12. Hua Zou, Xinbo Gao, Xingrong Lv. A block-layout structure for texture-based volume rendering. Journal of Information & Computational Science, Vol.5, No.4, pp.1619-1628, 2008

  13. Bing Xiao, Jie Li and Xinbo Gao. An HMM-based cost function free algorithm  for graph edit distance.  IET the 5th International Conference on Visual Information Engineering (VIE2008), pp.286-291, July 29 - August 1, 2008, Xi'an, China

  14. Xinsheng Zhang, Xinbo Gao and Ying Wang. Microcalcification clusters detection with tensor subspace learning and Twin SVMs. The 7th World Congress on Intelligent Control and Automation, (WCICA08), June 25-27, Chongqing, China, pp.1758-1763, 2008

  15. Cheng Deng, Xinbo Gao, D.-C.Tao, X.-L.Li. Geometrically invariant watermarking using affine covariant regions. 2008 IEEE International Conference on Image Processing (ICIP2008), October 12-15, 2008, San Diego, California, U.S.A., pp.413-416.

  16. Wen Lu, Xinbo Gao, X.-L.Li, D.-C.Tao. An image quality assessment metric based on contourlet. 2008 IEEE International Conference on Image Processing (ICIP2008), October 12-15, 2008, San Diego, California, U.S.A., pp.1172-1175. 

  17. Wen Lu, D.-C.Tao, Xinbo Gao, X.-L.Li. A new image quality assessment metrics based on human visual system. The 2nd  IEEE International Workshop on Multimedia Analysis and Processing (IMAP), St. Thomas, US Virgin Island, USA. IMAP 2008 Workshop at ICCCN 2008

  18. Ya Su, Xinbo Gao, D.-C.Tao, X.-L.Li. Gabor-based texture representation in AAMs. 2008 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), Singapore, 12-15 October 2008, pp.2236-2240

  19. X.-L.Li, Wen Lu, D.-C.Tao, Xinbo Gao. An image quality assessment based on wavelet structure. 2008 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), Singapore, 12-15 October 2008, pp.2246-2251

  20. Cheng Deng, Xinbo Gao, X.-L.Li and D.-C.Tao. Invariant image watermarking based on local feature regions. International Conference on Cyberworlds 2008 (CW2008), Hangzhou, China,22-24, September, 2008, pp.6-10

  21. Zhenxing Niu, Xinbo Gao, D.-C.Tao and X.-L.Li. Semantic video shot segmentation based on color ratio feature and SVM. International Conference on Cyberworlds 2008 (CW2008), Hangzhou, China,22-24, September, 2008, pp.157-162

  22. Chunna Tian, Guoliang Fan, Xinbo Gao. Multi-view face recognition by nonlinear tensor decomposition. International Conference on Pattern Recognition (ICPR2008), December, 2008 

  23. 王体胜,高新波,路    文,李广东. 一种新的部分参考型图像质量评价方法. 西安电子科技大学学报,Vol.35, No.1, pp.101-104, 2008

  24. 路    文, 高新波, 王体胜. 一种基于WBCT的自然图像质量评价方法. 电子学报, Vol.36, No.2, pp.303-308, 2008

  25. 冯    珺,高新波,杨益敏. 视频镜头关键帧重构算法及其在检索中的应用. 计算机辅助设计与图形学报,Vol.20, No.6, pp.775-780,2008 

  26. 阔永红,石光明,高新波. 西安电子科技大学“数字信号处理”双语教学的探索与实践. 高等学校双语教学的现状和发展研究,武汉大学出版社,pp.295-300, 2008

  27. 杨    德,张建龙,高新波. MVFAST运动估计算法改进及其VLSI体系结构.计算机技术与发展, Vol.18, No.5, pp.1-5, 2008

  28. 路    文,高新波,曾凯,邓勤耕. 面向H.264的多模式快速环路滤波算法. 计算机科学,Vol.35, No.7, pp.137-141, 2008

  29. 邓    成,高新波,范可峰,周芳. 基于局部特征区域的数字水印算法研究. 西安电子科技大学学报,Vol.35, No.4, pp.707-711, 2008 

  30. 沈敏一,高新波. H.264视频编码系统中多参考帧的选择算法研究. 电路与系统学报,Vol.13, No.4, pp.50-54, 2008 

  31. 张新生,高新波,王    颖,赵文琪. 乳腺图像微钙化簇主动学习检测新方法. 西安电子科技大学学报,Vol.35, No.5, pp.871-877, 2008 

  32. 杨    越,高新波,路    文. 一种基于自适应补偿的快速帧速率上转换算法. 光子学报,Vol.37, No,11, pp.2336-2341, 2008 

  33. 邓勤耕, 高新波, 路    文. 基于单元尺度的自适应码率控制算法. 中国图象图形学报, Vol.13, No.11, pp.2093-2098, 2008

  34. 邹    华,高新波,吕新荣. 一种八叉树编码加速的3D纹理体绘制算法. 西安交通大学学报,Vol.42, No.12, pp.1490-1494, 2008 

[top]

2007
  1. Juanjuan Zhong, Xinbo Gao, Chunna Tian. Face Sketch Synthesis Using E-HMM and Selective Ensemble. 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2007), pp.I-485-I-488, April.15-20, 2007, Honolulu, Hawaii, USA.

  2. Wen Lu, Xinbo Gao, Qingeng Deng. A basic-unit size based adaptive rate control algorithm, International Conference on Image and Graphics (ICIG2007), pp.268-273, Chengdu, Sichuan, China, 2007

  3. Ying Wang, Xinbo Gao, Jie Li. A feature analysis approach to mass detection in mammography based on RF-SVM. International Conference on Image Processing (ICIP2007), V9-V12, September 16-19, 2007, San Antonio, Texas, USA.

  4. Jingwei Wang, Xinbo Gao, et. al. A video watermarking based on 3-D complex wavelet. International Conference on Image Processing (ICIP2007), V493-V496, September 16-19, 2007, San Antonio, Texas, USA.

  5. Cheng Deng, Xinbo Gao,  and et al. Digital watermarking in image affine co-variant region, International Conference on Machine Learning and Cybernetics (ICMLC), Volume 4, 19-22 Aug. 2007, Page(s): 2125 - 2130, 2007

  6. Jinlong Zhang, Xinbo Gao. A novel framework of FIGS video coding based on EBCOT. Proceedings of the Society of Photo-optical Instrumention Engineers (SPIE), Conference on Satellite Data Compression, Communications, and Archiving III, pp.6830, Aug 29-30, 2007, San Diego, CA, USA.

  7. Xinbo Gao, Jie Li,  and et al. Fuzziness measurement of fuzzy sets and its application in cluster validity analysis. International Journal of Fuzzy System (IJFS), Vol. 9, No. 4, pp. 188-197, 2007.

  8. 霍菲菲,高新波. 基于三维小波视频水印嵌入与盲检测算法. 电子与信息学报,Vol.29, No.2, pp.447-450, 2007

  9. 高新波,路文,谷军霞. 基于Kalman滤波的自适应De-interlace算法. 电路与系统学报,Vol.12, No.2, pp.6-10, 2007

  10. 赖耀昌,高新波,刘书泽. 基于GPIB总线的GSM移动电话发射功率自动校准系统. 现代电子技术,第4期(总第243期),pp.35-38,2007

  11. 陈倩,高新波. 符合H.264标准的一种基于内容的变尺度宏块分割方法. 中国图像图形学报,Vol.12, No.3, pp.420-426, 2007

  12. 韩冰,高新波,姬红兵. 基于粗糙集和模糊聚类的新闻视频镜头边界检测方法. 中国图像图形学报,Vol.12, No.3, pp.522-528, 2007

  13. 王颖,高新波. 基支持向量机和相关反馈技术的肿块检测算法. 西安电子科技大学学报,Vol.34, No.2, pp.239-245, 2007

  14. 杨润玲,高新波. “一种基于模糊聚类的图像分割快速算法”,西安建筑科技大学学报,Vol.39, No.2, pp.280-285, 2007

  15. 张建龙,高新波,杜建超,李云松,“基于网络带宽非均匀划分的可分级码流无缝切换方法”,计算机学报,Vol.30, No.5, pp.845-850, 2007

  16. 张建龙,吴成柯,高新波. 一种基于双域拉格朗日插值的错误隐藏方法. 电子学报, Vol.35, No.4, pp.653-658, 2007

  17. 高新波,田春娜,张娜. 一种基于SVM主动学习的卡通视频检测方法. 电子与信息学报,Vol.29, No.6, pp.1338-1342, 2007

  18. 李金秀,高新波,等. 基于特征加权的模糊聚类算法研究. 北京电子科技学院学报,Vol.15, No.2, pp.74-76, 2007

  19. 高飞,高新波. 一种基于脊线跟踪的冠状动脉中心线提取方法. 计算机应用,Vol.27, 增刊,pp.380-382, 2007

  20. 李金秀,高新波,“基于EHMM的人脸识别算法中参数选择实验研究”,第6届全国信号与信息处理学会,pp.217-220, 2007  

  21. 王涛,高新波,张都应. 一种基于内容的图像质量评估测度. 中国图像图形学报,Vol.12, No.6, pp.1002-1007, 2007

  22. 刘伟,高新波. 一种基于特征加权FCM的航迹关联融合算法. 第14届信息化理论学术研讨会论文集,中国电子学会电子系统工程分会,pp.355-359,西安,2007

  23. 王鹏,高新波,韩继涛. 数字视频水印算法评测标准研究. 通信学报,Vol.28, No.11A, pp.39-43, 2007

  24. 李勇朝,高新波,石光明. 数字信号处理双语教学的探索与实践. 北京大学学报(哲学社会科学版),S2: 89-92, 2007年5月

  25. 杨润玲,高新波. 基于加权模糊C均值聚类的快速图像自动分割算法. 中国图像图形学报,Vol.12, No.12, pp.2105-2112, 2007

  26. 张军, 李富春, 高新波. 建立天空地一体化网络技术合作研究平台. 科技导报(北京),Vol.25, No.21,pp.8, 2007.

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2006
  1. Xinbo Gao, Jie Li, Na Zhang, "A Cartoon Video Detection Method Based on Active Relevance Feedback and Svm" , Lecture Notes in Computer Science, LNCS3972, pp.436-441, ISNN2006, 2006

  2. Xinbo Gao, Jie Li, Yang Shi, "A video shot boundary detection algorithm based on feature tracking", Lecture Notes in Artificial Intelligence, LNAI4062, pp.651-658, RSKT2006, 2006

  3. Chunna Tian, Xinbo Gao, Jie Li, "Active learned multi-view detection tree using fuzzy cluster validity analysis", International Conference on Fuzzy Systems and Knowledge Discovery, Lecture Notes in Artificial Intelligence, LNAI 4223, pp.813-821, 2006

  4. Bing Han, Xinbo Gao, Hongbing Ji, "A novel feature weighted fuzzy clustering algorithm based on variable precision rough sets for shot boundary detection", International Conference on Fuzzy Systems and Knowledge Discovery, Lecture Notes in Artificial Intelligence, LNAI 4223, pp.471-480, 2006

  5. Jie Li, Xinbo Gao, Chunna Tian, "FCM-based clustering algorithm ensemble for large data sets", International Conference on Fuzzy Systems and Knowledge Discovery, Lecture Notes in Artificial Intelligence, LNAI 4223, pp.559-567, 2006

  6. Han Bing, Xinbo Gao, Hongbing Ji, A novel feature weighted fuzzy clustering algorithm, Journal of Computational Information Systems, Vol.2, No.3, pp.1141-1146, 2006

  7. Li Jie, Gao Xinbo, Jiao Licheng, “A fuzzy CLOP algorithm and its optimal parameter choice”, Accepted by Journal of Electronics (China), Vol.23, No.3, pp.378-383, 2006

  8. Liangqun Li, Hongbing Ji, Xinbo Gao, "Maximum entropy fuzzy clustering with application to real-time target tracking", Signal Processing, Vol.86, No.11, pp.3432-3447, 2006

  9. Lei Wang, Hongbing Ji and Xinbo Gao, "Fully unsupervised possibilistic entropy clustering",  2006 IEEE International Conference on Fuzzy Systems, pp.2351-2358, July, 2006

  10. Han Bing, Xinbo Gao, Hongbing Ji, "A Novel method of Biomimetic Pattern Recognition for Shot Boundary Detection" , Chinese Journal of Electronics, Vol.15, No.4, pp.941-944, 2006

  11. Chunna Tian, Xinbo Gao, Jie Li, "A valid multi-view face detection tree based on FloatBoost learning", Accepted by ICIP2006, International Conference on Image Processing, pp.2653-2656, Atlanta, GA, USA, Oct.8-11, 2006

  12. Feifei Huo, Xinbo Gao, "A wavelet based image watermarking scheme", Accepted by ICIP2006, International Conference on Image Processing, pp.2573 - 2576, Atlanta, GA, USA, Oct.8-11, 2006.

  13. 李    洁,高新波,焦李成,“基于特征加权的模糊聚类新算法”,电子学报,Vol.34, No.1, pp.89-92, 2006

  14. 李名庆,高新波,许    晶,“多尺度医学图像增强方法”,中国生物医学工程学报,Vol.25, No.2, pp.178-181, 2006

  15. 宁贝佳,高新波,“中新两国硕士研究生培养之对比分析”,西安电子科技大学学报(社科版),总第16卷,第61期,2006年第2期,pp.269-272, 2006.

  16. 刘存利,董    皓,高新波,“美国研究型大学本科生科研的发展及其启示”,西安电子科技大学学报(社科版),总第16卷,第62期,2006年第3期,pp.132-136, 2006.

  17. 竺    海,姬红兵,高新波,“基于边界距离场的管腔中心路径自动提取算法”,计算机辅助设计与图形学学报,Vol.18, No.6, pp.860-864, 2006. 

  18. 厍向阳,薛惠锋,高新波,“基于生长树的遗传算法研究”,计算机应用研究,第7期,pp.62-64, 2006

  19. 韩    冰,高新波,姬红兵,“基于模糊粗糙集的新闻视频镜头边界检测方法”,电子学报,Vol.34, No.6, pp.1085-1089, 2006

  20. 王    婷,高新波,苏    亚,“基于P2P的SIP视频会议系统模型研究与实现”,信号与信息处理联合会议论文集,pp.37-40,2006

  21. 韩    冰,高新波,姬红兵,“一种分层的和多分辨的镜头边界检测方法”,计算机科学,Vol.33, No.6, pp.225-231, 2006

  22. 姚利民,高新波,“乘中部崛起之东风,铸区域教育之辉煌——第25期中青年干部培训班考察湖南省高等教育报告”,国际教育行政学院学报,No.8,pp.81-85

  23. 刘书泽,赖耀昌,高新波,“基于WINCE的PXA255低功率嵌入式系统设计”,单片机与嵌入式系统,No.9, pp.13-15, 2006

  24. 田春娜,高新波,李    洁,“基于嵌入式Bootstrap的主动学习示例选择方法”,计算机研究与发展,Vol.43, No.10, pp.1706-1712, 2006

  25. 温    静,高新波,“一种基于肤色模型的贝叶斯人脸检测算法”,西安电子科技大学学报 (自然科学版),Vol.33, No.5, pp.771-777, 2006

  26. 董    妍,高新波,王颖,“一种基于Top-Hat的乳腺图像中钙化点的检测方法”,中国图像图形学报,Vol.11, No.12, pp.1839-1843, 2006. 

  27. 韩    冰,高新波,“ Automatic news audio classification method based on selective ensemble SVMs”,模式识别与人工智能,Vol.19, No.5, pp.634-639, 2006 

  28. 田春娜,高新波,“基于冗余小波变换的相对模糊连通图像交互式分割算法”,电子信息学报,Vol.28, No.12, pp.2287-2291, 2006 

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2005
  1. Xinbo Gao, Jie Li, and Halidan A. "A Possibilistic c-Patterns Algorithm and its Application in Video Abstraction", Asian Journal of Information Technology, Vol.4, No.3, pp.61-67, 2005.

  2. Wu Zhongdong, Gao Xinbo, Xie Weixin, Yu Jianping, "Kernel method-based fuzzy clustering algorithm", Journal of Systems Engineering and Electronics, Vol.26, No.1, pp.160-166, 2005. 

  3. Jie Li, Xinbo Gao, Licheng Jiao, "A novel clustering method based on SVM", Proceedings of International Symposium on Neural Networks (ISNN), Chongqing, China, 2004. J. Wang, X. Liao, and Z. Yi (Eds.): ISNN 2005, LNCS 3497, pp.57-62, 2005. Springer-Verlag Berlin Heidelberg 2005. 

  4. Bing Han, Xinbo Gao, Hongbing Ji, "Automatic news audio classification based on selective ensemble SVMs", Proceedings of International Symposium on Neural Networks (ISNN), Chongqing, China, 2004. J. Wang, X.Liao, and Z. Yi (Eds.): ISNN 2005, LNCS 3497, pp.363-368, 2005. Springer-Verlag Berlin Heidelberg 2005.

  5. Yinshui Shi, Hongbing Ji, Xinbo Gao, "A Radar target multi-feature fusion classifier based on rough neural network", Proceedings of International Symposium on Neural Networks (ISNN), Chongqing, China, 2004. J. Wang, X.Liao, and Z. Yi (Eds.): ISNN 2005, LNCS 3497, pp.375-380, 2005. Springer-Verlag Berlin Heidelberg 2005.

  6. Xinbo Gao, Junxia Gu, Jie Li, “Deinterlacing algorithms based on motion compensation”, IEEE Trans. on Consumer Electronics, Vol.51, No.2, pp.589-599, May, 2005

  7. Xinbo Gao, Jie Li, Junxia Gu, "A video de-interlacing algorithm based on fuzzy adaptive motion compensation", Eleventh International Fuzzy Systems Association World Congress, IFSA2005 World Congress, July 28-31, 2005, Beijing China. “Fuzzy Logic, Soft Computing and Computational Intelligence”, Editors: Yingming Liu, Guoqing Chen, Mingsheng Ying, Vol.1, pp.222-227, 2005, Tsinghua University Press and Springer. 

  8. Chunna Tian, Xinbo Gao, "Relative fuzzy connected interactive image segmentation algorithm using redundant wavelet transform", Eleventh International Fuzzy Systems Association World Congress, IFSA2005 World Congress, July 28-31, 2005, Beijing China. “Fuzzy Logic, Soft Computing and Computational Intelligence”, Editors: Yingming Liu, Guoqing Chen, Mingsheng Ying, Vol.1, pp.1026-1031, 2005, Tsinghua University Press and Springer. 

  9. Xinbo Gao, Tao Wang, Jie Li, “A Content-based Image Quality Metric”, D. Slezak et al. (Eds.): RSFDGrC2005, LNAI 3642, pp.231-240, 2005, Springer-Verlag Berlin Heidelberg 2005.

  10. Jie Li, Xinbo Gao, “A novel feature weighted fuzzy clustering algorithm”, D. Slezak et al. (Eds.): RSFDGrC2005, LNAI 3641, pp.412-420, 2005, Springer-Verlag Berlin Heidelberg 2005. 

  11. Han Bing, Xinbo Gao, Hongbing Ji, “A shot boundary detection method for news video based on rough-fuzzy sets”, Proceedings of International Conference on Intelligent Computing, (ICIC2005), Hefei, China. Accepted by International Journal of Information Technology.

  12. Qiang Sun, Yuheng Sha, Xinbo Gao, Biao Hou, and Licheng Jiao,“A Fully Unsupervised Image Segmentation Algorithm Based on Wavelet Domain Hidden Markov Tree Models”,Proceedings of International Conference on Advanced Concepts for Intelligent Vision Systems (Acivs2005) 2005, University of Antwerp, Antwerp, Belgium. Lecture Notes in Computer Science, LNCS 3708, pp.507-514, 2005

  13. Bing Han, Xinbo Gao, Hongbing Ji, "A shot boundary detection method for news video based on rough-fuzzy sets", International Journal of Information Technology, Vol.11, No.7, pp.101-111, 2005

  14. Tian Chunna, Gao Xinbo, "A fast interactive segmentation algorithm of image sequences based on relative fuzzy connectedness", Journal of Systems Engineering and Electronics, Vol.16, No.4., pp.750-755, 2005

  15. Gao Xinbo, Gu Junxia, Hiroyuki Ishima. "Adaptive de-interlacing algorithm based on motion compensation", Journal of Systems Engineering and Electronics, Vol.16, No.4., pp.931-936, 2005

  16. Jie Li, Xinbo Gao, and Licheng Jiao, "A novel typical sample-weighted clustering algorithm for large data sets", International Conference on Computational Intelligence and Security, CIS2005, Xi'an, China, Dec., 2005. Lecture Notes in Artificial Intelligence, LNAI3801: 696-703, 2005

  17. Bing Han, Xinbo Gao, Hongbing Ji, "A unified framework for shot boundary detection", International Conference on Computational Intelligence and Security, CIS2005, Xi'an, China, Dec., 2005. Lecture Notes in Artificial Intelligence, LNAI3801: 997-1002, 2005

  18. 李    英,高新波,姬红兵,“一种基于三维小波的视频水印空时算法”,系统工程与电子技术,Vol.27, No.1, pp.16-19, 2005. 

  19. 李    洁,高新波,焦李成,“一种基于CSA的模糊聚类新算法”,电子与信息学报,Vol.27, No.2, pp.302-305, 2005.

  20. 张    娜,高新波,“未来智能电视的构想”,现代电视技术,No.1, pp.134-136, 2005.

  21. 韩    冰,姬红兵,高新波,“一种基于小波的分层和多分辨的镜头边界检测方法”,西安电子科技大学学报,No.1, Vol.32, pp.36-40, 2005.

  22. 韩    冰,姬红兵,高新波,“一种先切分后检测的分层镜头边界检测方法”,系统工程与电子技术,No.2, Vol.27, pp.361-364, 2005. 

  23. 杨润玲,高新波,“美国几所高校与西安电子科技大学信息与通信工程学科研究生课程设置对比研究”,陕西学位与研究生教育,No.1-2, pp.55-59, 2005.

  24. 高新波,杨兵,程亮,基于模糊自适应运动补偿的De-interlace算法,模糊逻辑与计算智能研究进展,ISBN 7-312-01778-9,2005年中国模糊逻辑与计算智能联合学术会议论文集,pp.579-584, April, 16-18, 2005.

  25. 谢娟英,谢维信,高新波,基于树结构的属性约简方法,模糊逻辑与计算智能研究进展,ISBN 7-312-01778-9,2005年中国模糊逻辑与计算智能联合学术会议论文集,pp.360-364, April, 16-18, 2005.

  26. 宫改云,高新波,伍忠东,“FCM聚类算法中模糊加权指数m的优选方法”,模糊系统与数学,Vol.19, No.1, pp.143-148, 2005

  27. 李    洁,高新波,焦李成,“一种基于修正划分模糊度的聚类有效性函数”,系统工程与电子技术,Vol.27, No.4, pp.723-726, 2005

  28. 宋骊平,姬红兵,高新波,“多站测角的机动目标最小二乘自适应跟踪算法”,电子与信息学报,Vol. 27, No.5,pp.793-796, 2005.

  29. 高新波,谷军霞,李    洁,“基于运动目标的De-interlace算法”,电子学报,Vol.33, No.6, pp.101-104, 2005

  30. 李隐峰,邓卓峰,高新波,刘应南,“建设网络信息化平台 提高教学管理水平”,西安电子科技大学学报(社会科学版),Vol.15, No.1, pp.132-135, 2005 

  31. 史    阳,高新波,“一种基于特征跟踪的视频序列稳像算法”,光子学报,Vol.34, No.7, pp.1108-1112, 2005

  32. 高新波,郭佑民,“医学影像处理、分析和可视化技术”,中国现代临床医学,Vol.4, No.8, pp.51-58, 2005

  33. 郭佑民,强永乾,高新波,“胸部影像学诊断知识库框架的构建”,首届国际医学影像学暨介入学学术会议论文汇编,2005年

  34. 田春娜,高新波,哈力旦,“一种基于相对模糊连通度的交互式序列图像快速分割算法”,电子与信息学报,2005

  35. 张    婵,高新波,姬红兵,“视频关键帧提取的可能性C-模式聚类算法”,计算机辅助设计与图形学报,Vol.17, No.9, pp.2040-2045, 2005

  36. 王    衡,姬红兵,高新波,“基于方向重建滤波核的Splatting新算法”,西安电子科技大学学报(自然版),Vol.32, No.4, pp.532-537, 2005

  37. 董妍,高新波,王颖,“一种基于Top-hat的乳腺图像中钙化点的检测方法”,第四届全国“信号与信息处理”联合学术会议,pp.343-347, 2005,7月23-26日,湖南张家界

  38. 张箭,高新波,张新生,“基于内容的新闻视频检索系统研究”,第四届全国“信号与信息处理”联合学术会议,2005,pp.377-380, 7月23-26日,湖南张家界

  39. 王颖,高新波,董妍,“一种部分监督的乳腺肿块检测方法”,中国医学影像技术,Vol.21, No.10, pp.1572-1575, 2005

  40. 库向阳,薛惠锋,高新波,“基于障碍物约束的聚类算法”,系统工程与电子技术,Vol.27, No.10, pp.1803-1806, 2005  

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2004
  1. Jie Li, Xinbo Gao, Licheng Jiao, "A novel clustering method with network structure based on clonal algorithm", Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP2004), May 17-21, 2004, Quebec, Canada.

  2. Jie Li, Xinbo Gao, Lichang Jiao, "A new cluster validity function based on the modified partition fuzzy degree", Fourth International Conference on Rough Sets and Current Trends in Computing 2004 (RSCTC2004), Lecture Notes in Artificial Intelligence, LNAI 3066, pp.586-591, June 1-5, 2004, Sweden.

  3. Jie Li, Xinbo Gao, Licheng Jiao. "A CSA-Based Clustering Algorithm for Large Data Sets With Mixed Numeric and Categorical Values", Proceedings of the 5th World Congress on Intelligent Control and Automation, Vol.3, pp.2303-2307, June 15-19, Hangzhou, China. 

  4. Lei Wang, Hongbing Ji, Xinbo Gao, "Robust Clustering with Gaussian Estimator", Proceedings of the 5th World Congress on Intelligent Control and Automation (WCICA 2004), Vol. 3, pp. 2318-2321, Hangzhou, P.R.China, June 15-19, 2004. 

  5. Gu Junxia, Gao Xinbo, Hiroyuki Ishimura, "Adaptive De-interlacing Algorithm Based on Motion Compensation", Proceedings of the 7th International Conference on Signal Processing, pp.800-803, 2004, Aug.31-Sept.4, 2004, Beijing.

  6. Wang Lei, Ji Hongbing, Gao Xinbo, "Clustering by Possibilistic Entropy", Proceedings of the 7th International Conference on Signal Processing, pp.1467-1470, 2004, Aug.31-Sept.4, 2004, Beijing. 

  7. Wu Zhongdong, Gao Xinbo, Xie Weixin, Yu Jianping, "Support Vector Machines with Fuzzy Entropy for Training with a Large Datasets", Proceedings of the 7th International Conference on Signal Processing, pp.1439-1442, 2004, Aug.31-Sept.4, 2004, Beijing.

  8. Han Bing, Ji Hongbing, Gao Xinbo, "A 3D Wavelet and motion vector based method for wipe transition detection", Proceedings of the 7th International Conference on Signal Processing, pp.1207-1210, 2004, Aug.31-Sept.4, 2004, Beijing. 

  9. Wang Lei, Ji Hongbing, Gao Xinbo, "MR Brain image segmentation using a possiblistic entropy based clustering method", Proceedings of the 7th International Conference on Signal Processing, pp.2241-2244, 2004, Aug.31-Sept.4, 2004, Beijing.

  10. Gu Junxia, Gao Xinbo, Li Jie, "De-interlacing Algorithm Based on Motion Objects", International Conference on Image Analysis and Recognition, ICIAR 2004,September 29-Oct.1, 2004, Porto, Portugal. Lecture Notes in Computer Science, Volume 3212 / 2004,  pp.381-388, Springer-Verlag Heidelberg.

  11. Wang Lei, Ji Hongbing, Gao Xinbo, "Image Segmentation by a Robust Clustering Algorithm using Gaussian Estimator", International Conference on Image Analysis and Recognition, ICIAR 2004, September 29-Oct.1, 2004, Porto, Portugal. Lecture Notes in Computer Science, Volume 3211 / 2004, pp.74-81, Springer-Verlag Heidelberg. 

  12. Wu Zhongdong, Yu Jianping, Xie Weixin, Gao Xinbo, "Reduction of training datasets via fuzzy entropy for support vector machines", Proceedings of International Conference on Systems, Man, Cybernetics, IEEE SMC 2004, Oct.10-13, 2004, the Hague, the Netherlands, pp.2381-2385

  13. Li Jie, Gao Xinbo, Jiao Licheng, "A Novel Clustering Algorithm Based on Immune Network with Limited Resource", Proceedings of the 17th Austalian Joint Conference on Artificial Intelligence, 6-10th December 2004, Cairns Australia.

  14. Xinbo Gao, Jie Li, Changming Wang, “Applications of Fuzzy Soft Clustering Algorithms in Content-based Video Retrieval”, Proceedings of SCI2004, Volume VI, pp.227-233, Orlando, USA.

  15. 高新波,模糊聚类分析及其应用,西安电子科技大学出版社,2004.1,323千字

  16. 高新波,雷    云,姬红兵,“一种复杂背景下模板检测与定位的新方法”,系统工程与电子技术,Vol.26,No.1,pp.87-90, 2004

  17. 沈傲东,高新波,姬红兵,“一种针对大规模数据集的快速分组算法”,系统工程与电子技术,Vol.26,No.1,pp.106-109, 2004

  18. 周礼平,高新波,“图像分割的快速模糊c均值聚类算法”,计算机工程与应用,Vol.40, No.8, pp.68-70, 2004

  19. 宋骊平,姬红兵,高新波,“基于高阶累积量的目标机动检测新方法”,电子学报,Vol.32, No.1, pp.154-156, 2004

  20. 李    洁,高新波,焦李成,“一种基于CSA的混和属性特征大数据集聚类算法”,电子学报,Vol.32, No.3, pp.357-362, 2004

  21. 高新波,李    洁,姬红兵,“基于加权模糊c均值聚类与统计检验指导的多阈值图像自动分割算法”,电子学报,32(4), pp.661-664, 2004  

  22. 高新波,郭佑民,“医学影像处理分析及可视化技术”,中华放射协会西安心胸会议,特邀大会报告

  23. 张    健,池    峰,高新波,姬红兵,“基于DICOM标准的大型医学影像分布式存储系统研究”,计算机应用研究,21(4), 2004, pp.85-87.   

  24. 苏新主,姬红兵,高新波,“一种基于数学形态学的红外弱小目标检测方法”,红外与激光工程,Vol.33, No.3, 2004, pp.307-310.

  25. 宫改云,毛用才,高新波,刘三阳,“基于模糊c-均值聚类的微阵列基因表达数据分析”,西安电子科技大学学报,31(2): 291-295, 2004

  26. 伍忠东,高新波,谢维信,“基于核方法的模糊聚类算法”,西安电子科技大学学报,Vol.31, No.4, 2004, pp.533-537.  

  27. 李洁,高新波,焦李成,“一种基于GA的混和属性特征大数据集聚类算法”,电子与信息学报, Vol.26, No.8, 2004, pp.1203-1209. 

  28. 李洁,高新波,焦李成,“基于克隆算法的网络结构聚类新算法”,电子学报,Vol.32, No.7, pp.1195-1199, 2004. 

  29. 金艳,李洁,高新波,“制约我校学科建设的因素及对策研究”,中国电子教育,No.1(总第35期), pp.21-25, 2004.

  30. 张严,高新波,“一种基于局域网的并行免疫算法实现方案”,同济大学学报,Vol.32, 增刊,pp.151-153, 2004

  31. 伍忠东,谢维信,高新波,“基于模糊熵的支撑矢量预选取方法”,复旦大学学报,Vol.43, No.5, pp.787-800, 2004 

  32. 李洁,高新波,焦李成,“一种基于CSA的模糊聚类新算法(英文)”,复旦大学学报,Vol.43, No.5, pp.815-818, 2004 

  33. 王磊,姬红兵,高新波,“可能性熵聚类”,复旦大学学报,Vol.43, No.5, pp.834-836, 2004

  34. 丁宾,高新波,姬红兵,“基于离散余弦变换的人脸画像识别方法”,计算机工程,Vol.30, No.20, pp.151-153,  2004 

  35. 伍忠东,高新波,谢维信,“基于核方法的分类型属性数据集模糊聚类算法”,华南理工大学学报,Vol.32, No.9, pp.23-28, 2004.

  36. 李洁,高新波,焦李成,“模糊CLOPE算法及其参数优选”,控制与决策,Vol.19, No.11, pp.1250-1254, 2004

  37. 高新波,焦李成,金艳,“学科建设初探及我校的对策研究”,西电学报(社科版),2004。

  38. 李智杰,高新波,姬红兵,“基于Curvelet变换的红外图像背景杂波抑制算法”,红外技术,Vol.26, No.5, pp.1-4, 2004

  39. 宫改云,高新波,伍忠东,“基于划分模糊度的聚类有效性函数”,模式识别与人工智能,Vol.17, No.4, pp.412-416, 2005.

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2003
  1. Xinbo Gao, Jie Li and Hongbing Ji, “Fuzzy c-means clustering algorithms for fuzzy-numbers and interval-numbers”, Proceedings of International Conference on Fuzzy Information Processing Theories and Applications, Vol.1, pp.477-482, March 1-4, 2003, Beijing, China.

  2. Xinbo Gao, Jie Li and Hongbing Ji, “A syntactic video segmentation algorithm based fuzzy clustering neural network”, Proceedings of International Conference on Fuzzy Information Processing Theories and Applications, Vol.1, pp.587-592, March 1-4, 2003, Beijing, China.

  3. Xinbo Gao, Jie Li, Bing Yang, “A graph-theoretical clustering based anchorperson shot detection for news video indexing”, Proceedings of International Conference on Computational Intelligence and Multimedia Applications, pp.108-113, Xi'an, China, Sept.27-30, 2003.

  4. Jie Li, Xinbo Gao, Licheng Jiao, “A GA-based clustering algorithm for large data sets with mixed numeric and categorical values”, Proceedings of International Conference on Computational Intelligence and Multimedia Applications, pp.102-107, Xi'an, China, Sept.27-30, 2003.

  5. Ying Li, Xinbo Gao, Hongbing Ji, “A 3d wavelet based spatial-temporal approach for video watermarking”, Proceedings of International Conference on Computational Intelligence and Multimedia Applications, pp.260-265, Xi'an, China, Sept.27-30, 2003.

  6. Li Jie, Gao Xinbo, Jiao Licheng, “A GA-based clustering algorithm for large data sets with mixed numeric and categorical values”, Proceedings of SPIE Multispectral Image Processing and Pattern Recognition, pp.171-174, Beijing, China, Oct.20-22.

  7. Xinbo Gao, Hongbing Ji, Yu Lei, “An efficient weak edge detection algorithm ”, Proceedings of SPIE Multispectral Image Processing and Pattern Recognition, pp.831-834, Beijing, China, Oct.20-22.

  8. Su Xinzhu, Ji Hongbing, Xinbo Gao, “A detection method for dim small IR targets based on wavelet and higher-order cumulant”, Proceedings of SPIE Multispectral Image Processing and Pattern Recognition, pp.911-914, Beijing, China, Oct.20-22.

  9. Xinbo Gao, Qi Li, Jie Li, “Anchorperson shot detection for news video indexing based on graph-theoretical clustering and fuzzy if-then rule”, Proceedings of SPIE Multispectral Image Processing and Pattern Recognition, pp.919-922, Beijing, China, Oct.20-22.

  10. Han Bing Gao Xinbo, Ji Hongbing, “An efficient detection algorithm of gradual transition for video shot segmentation”, Proceedings of SPIE Multispectral Image Processing and Pattern Recognition, pp.956-961, Beijing, China, Oct.20-22. 

  11. 高新波,池    峰,姬红兵,“一种图像测量中标定参照物的快速定位方法”,计算机应用,第3期,pp.15-17,2003.

  12. 高新波,雷    云,姬红兵,“一种改进的Live-wire算法”,系统工程与电子技术,Vol.25, No.8, pp.915-917

  13. 王    刚,高新波,姬红兵,“三维重建中形状插值的快速算法研究”,计算机辅助设计与图形学报,Vol.15, No.8, pp.1012-1015

  14. 杨    敏,姬红兵,高新波. “基于多传感器的纱疵检测新技术”,纺织学报,2003年第4期

  15. 王    刚,高新波,姬红兵,“基于区域增长技术的树状器官的骨架提取算法”,西电学报,Vol.30, No.5, pp.594-597,2003

  16. 谢维信,高新波,“基于聚类有效性神经网络的模糊规则提取方法”,深圳大学学报(理工版),Vol.20, No.4,pp.30-38, 2003

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