Welcome to Maoguo Gong's Homepages

[Publications]

{Home}     {Research}     {Publication}     {Teaching}     {OMEGA}     {Link}


{Selected publications}

  1. Maoguo Gong, Shunfei Ji, Yu Xie, Yuan Gao, A. K. Qin. Exploring Temporal Information for Dynamic Network Embedding. IEEE Transactions on Knowledge and Data Engineering, 2020, in press.

  2. Maoguo Gong, Jialu Liu, Hao Li, Yu Xie, Zedong Tang. Disentangled Representation Learning for Multiple Attributes Preserving Face De-identification. IEEE Transactions on Neural Networks and Learning Systems, 2020, in press.

  3. Zedong Tang, Maoguo Gong, Yue Wu, Wenfeng Liu, Yu Xie. Regularized Evolutionary Multi-task Optimization: Learning to Inter-Task Transfer in Aligned Subspace. IEEE Transactions on Evolutionary Computation, 2020, in press.

  4. Maoguo Gong, Wenfeng Liu, Yu Xie, Zedong Tang, Mingliang Xu. Heuristic 3D Interactive Walk for Multilayer Network Embedding. IEEE Transactions on Knowledge and Data Engineering, 2020, in press.

  5. Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, and Fang Liu. Evolving Connections in Group of Neurons for Robust Learning. IEEE Transactions on Cybernetics, 2020, in press.

  6. Mingyang Zhang, Maoguo Gong, Haibo He, Shengqi Zhu. Symmetric All Convolutional Neural Network Based Unsupervised Feature Extraction for Hyperspectral Images Classification. IEEE Transactions on Cybernetics, 2020, in press.

  7. Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Maoguo Gong, Carlos A Coello Coello. A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. IEEE Transactions on Cybernetics, 2020, in press.

  8. Yuan Gao, Maoguo Gong, Yu Xie, Kai Qin. An Attention-based Unsupervised Adversarial Model for Movie Review Spam Detection. IEEE Transactions on Multimedia, 2020, in press.

  9. Maoguo Gong, Jia Liu, Kai Qin, Kun Zhao, Kay Chen Tan. Evolving Deep Neural Networks via Cooperative Coevolution with Backpropagation. IEEE Transactions on Neural Networks and Learning Systems, 2020, in press.

  10. Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao. Pareto Self-paced Learning based on Differential Evolution. IEEE Transactions on Cybernetics, 2020, in press.

  11. Dayong Tian, Deyun Zhou, Maoguo Gong, Yiwen Wei. Interval Type-2 Fuzzy Logic for Semi-Supervised Multimodal Hashing. IEEE Transactions on Cybernetics, 2020, in press.

  12. Maoguo Gong, Yu Xie, Ke Pan, Kaiyuan Feng, Kai Qin. A Survey on Differentially Private Machine Learning. IEEE Computational Intelligence Magazine, Vol. 15, No. 2, 2020: 49-64.

  13. Xiaolong Zheng, A. K. Qin, Maoguo Gong, Deyun Zhou. Self-regulated Evolutionary Multi-task Optimization.  IEEE Transactions on Evolutionary Computation, Vol. 24, No. 1, 2020: 16-28.

  14. Jia Liu, Maoguo Gong, AK Qin, Kay Chen Tan. Bipartite Convolutional Neural Network for Unsupervised Image Change Detection. IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, No. 3, 2020: 876-890.

  15. Maoguo Gong, Cheng Chen, Yu Xie, Shanfeng Wang. Community Preserving Network Embedding Based on Memetic Algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 4, No. 2, 2020: 108-118.

  16. Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming. Cost-aware Robust Control of Signed Networks by Using a Memetic Algorithm. IEEE Transactions on Cybernetics, Vol. 50, No. 10, 2020: 4430-4443.

  17. Xiangming Jiang, Maoguo Gong, Tao Zhan, Mingyang Zhang. Multiobjective Endmember Extraction Based on Bilinear Mixture Model. IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, No. 11, 2020: 8192-8210.

  18. Tao Zhan, Maoguo Gong, Xiangming Jiang, Mingyang Zhang. Unsupervised Scale-Driven Change Detection With Deep Spatial-Spectral Features for VHR Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, No.8, 2020: 5653-5665.

  19. Maoguo Gong, Yingying Duan, Hao Li. Group Self-paced Learning with a Time-varying Regularizer for Unsupervised Change Detection. IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, No. 4, 2020: 2481-2493.

  20. Muwei Jian, Junyu Dong, Maoguo Gong, Hui Yu, Liqiang Nie, Yilong Yin, Kin-Man Lam. Learning the Traditional Art of Chinese Calligraphy via Three-dimensional Reconstruction and Assessment. IEEE Transactions on Multimedia, Vol. 22, No. 4, 2020: 970-979.

  21. Fenlong Jiang, Maoguo Gong, Tao Zhan, Xiaolong Fan. A Semi-supervised GAN-based Multiple Change Detection Framework in Multi-spectral Images. IEEE Geoscience and Remote Sensing Letters, Vol. 17, No.7, 2020: 1223-1227.

  22. Shanfeng Wang, Maoguo Gong, Wenfeng Liu, Yue Wu. Preventing Epidemic Spreading in Networks by Community Detection and Memetic Algorithm. Applied Soft Computing, Vol. 89, 2020: 106118.

  23. Jingwei Kou, Tao Zhan, Deyun Zhou, Wei Wang, Zhengshang Da, Maoguo Gong. The Laser-induced Damage Change Detection for Optical Elements Using Siamese Convolutional Neural Networks. Applied Soft Computing, Vol. 86, 2020: 106015.

  24. Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong. Learning Smooth Representations with Generalized Softmax for Unsupervised Domain Adaptation. Information Sciences, Vol. 544, 2021: 415-426.

  25. Lijia Ma, Yutao Zhang, Jianqiang Li, Qiuzhen Lin, Qing Bao, Shanfeng Wang, Maoguo Gong. Community-aware Dynamic Network Embedding by Using Deep Autoencoder. Information Sciences, Vol. 219, 2020: 22-42.

  26. Shanfeng Wang, Maoguo Gong, Yue Wu, Mingyang Zhang. Multi-objective Optimization for Location-based and Preferences-aware Recommendation Information Sciences, Vol. 513, 2020: 614-626.

  27. Yu Xie, Chuanyu Yao, Maoguo Gong, Cheng Chen, A. K. Qin. Graph Convolutional Networks with Multi-Level Coarsening for Graph Classification. Knowledge-Based Systems, Vol. 194, 2020: 105578.

  28. Yuan Gao, Maoguo Gong, Yu Xie, Hua Zhong. Community-oriented Attributed Network Embedding. Knowledge-Based Systems, Vol. 193, 2020: 105418.

  29. Yu Xie, Yuanqiao Zhang, Maoguo Gong, Zedong Tang, Chao Han. MGAT: Multi-view Graph Attention Networks. Neural Networks, Vol. 132, 2020: 180-189.

  30. Maoguo Gong, Ke Pan, Yu Xie, Kai Qin, Zedong Tang. Preserving Differential Privacy in Deep Neural Networks with Relevance-based Adaptive Noise Imposition. Neural Networks, Vol. 125, 2020: 131-141.

  31. Maoguo Gong, Jialun Feng, Yu Xie. Privacy-enhanced Multi-party Deep Learning. Neural Networks, Vol. 121, 2020: 484-496.

  32. Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang. Local Distinguishability Aggrandizing Network for Human Anomaly Detection. Neural Networks, Vol. 122, 2020: 364-373.

  33. Maoguo Gong, Chuanyu Yao, Yu Xie, Mingliang Xu. Semi-supervised Network Embedding with Text Information. Pattern Recognition, Vol. 104, 2020: 107347.

  34. Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong. Visual Domain Adaptation Based on Modified A−Distance and Sparse Filtering. Pattern Recognition, Vol. 104, 2020: 107254.

  35. Xiaolong Fan, Maoguo Gong, Yu Xie, Fenlong Jiang, Hao Li. Structured Self-attention Architecture for Graph-level Representation. Pattern Recognition, Vol. 100, 2020: 107084.

 

  1. Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang. Evolutionary Multitasking with Dynamic Resource Allocating Strategy. IEEE Transactions on Evolutionary Computation, Vol. 23, No. 5, 2019: 858-869.

  2. Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang. Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Transactions on Evolutionary Computation, Vol. 23, No. 5, 2019: 733-747.

  3. Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao. Decomposition-Based Evolutionary Multi-objective Optimization to Self-paced Learning. IEEE Transactions on Evolutionary Computation, Vol. 23, No. 2, 2019: 288-302.

  4. Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello, Jianyong Chen, Jun Zhang. A Clustering-based Evolutionary Algorithm for Many-objective Optimization Problems. IEEE Transactions on Evolutionary Computation, Vol. 23, No. 3, 2019: 391-405.

  5. Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming. Reliable Link Inference for Network Data with Community Structures. IEEE Transactions on Cybernetics, Vol. 49, No. 9, 2019: 3347-3361.

  6. Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan. Multi-objective Sparse Nonnegative Matrix Factorization. IEEE Transactions on Cybernetics, Vol. 49, No. 8, 2019: 2941-2954.

  7. Mingyang Zhang, Maoguo Gong, Yishun Mao, Jun Li, Yue Wu. Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network. IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 5, 2019: 2669-2688.

  8. Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban. Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 4, 2019: 2277-2289.

  9. Maoguo Gong, Yuelei Yang, Tao Zhan, Xudong Niu. A Generative Discriminatory Classified Network for Change Detection in Multispectral Imagery.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 12, No.1, 2019: 321-333.

  10. Xudong Niu, Maoguo Gong, Tao Zhan, Yuelei Yang. Conditional Adversarial Network for Change Detection in Heterogeneous Images. IEEE Geoscience and Remote Sensing Letters, Vol. 16, No.1, 2019: 45-49.

  11. Zhao Wang, Maoguo Gong. Dynamic Deployment Optimization of Near Space Communication System Using A Novel Estimation of Distribution Algorithm. Applied Soft Computing, Vol. 78, 2019: 569-582.

  12. Yu Xie, Maoguo Gong, A. K.Qin, Zedong Tang, Xiaolong Fan. TPNE: Topology Preserving Network Embedding. Information Sciences, Vol. 504, 2019: 20-31.

  13. Yu Xie, Maoguo Gong, Shanfeng Wang, Wenfeng Liu, Bin Yu. Sim2vec: Node Similarity Preserving Network Embedding. Information Sciences, Vol. 495, 2019: 37-51.

  14. Maoguo Gong, Xudong Niu, Tao Zhan. A Coupling Translation Network for Change Detection in Heterogeneous Images. International Journal of Remote Sensing, Vol. 40, No.9, 2019: 3647-3672.

  15. Puzhao Zhang, Andrea Nascetti, Yifang Ban, Maoguo Gong. An Implicit Radar Convolutional Burn Index for Burnt Area Mapping with Sentinel-1 C-band SAR Data. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 158, 2019: 50-62.

  16. Maougo Gong, Ke Pan, Yu Xie. Differential Privacy Preservation in Regression Analysis Based on Relevance. Knowledge-Based Systems, Vol. 173, 2019: 140-149.

  17. Jia Liu, Maoguo Gong, Haibo He. Deep Associative Neural Network for Associative Memory Based on Unsupervised Representation Learning. Neural Networks, Vol. 113, 2019: 41-53.

 

  1. Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li. Structure Learning for Deep Neural Networks Based on Multiobjective Optimization. IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 6, 2018: 2450-2463.

  2. Jia Liu, Maoguo Gong, Kai Qin, Puzhao Zhang. A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 3, 2018: 545-559.

  3. Wei Zhao, Shulong Tan, Ziyu Guan, Boxuan Zhang, Maoguo Gong, Zhengwen Cao, Quan Wang. Learning to Map Social Network Users by Unified Manifold Alignment on Hypergraph. IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 12, 2018: 5834-5846.

  4. Xiangming Jiang, Maoguo Gong, Hao Li, Mingyang Zhang, Jun Li. A Two-phase Multi-objective Sparse Unmixing Approach for Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 1, 2018: 508-523.

  5. Zhun Fan, Jiewei Lu, Maoguo Gong, Honghui Xie, Erik Goodman. Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, No. 3, 2018: 876-887.

  6. Jiaxiang Huang, Maoguo Gong, Lijia Ma. A Global Network Alignment Method Using Discrete Particle Swarm Optimization. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 16, No. 3, 2018: 705-718.

  7. Tao Zhan, Maoguo Gong, Xiangming Jiang, Shuwei Li. Log-Based Transformation Feature Learning for Change Detection in Heterogeneous Images. IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 9, 2018: 1352-1356.

  8. Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao. Self-paced stacked denoising autoencoders based on differential evolution for change detection. Applied Soft Computing, Vol. 71, 2018: 698-614.

  9. Mingyang Zhang, Maoguo Gong, Yongqiang Chan. Hyperspectral Band Selection Based on Multi-objective Optimization with High Information and Low Redundancy. Applied Soft Computing, Vol. 70, 2018: 604-621.

  10. Tao Wu, Jiao Shi, Xiangming Jiang, Deyun Zhou, Maoguo Gong. A Multi-objective Memetic Algorithm for Low Rank and Sparse Matrix Decomposition. Information Sciences, Vol. 468, 2018: 172-192.

  11. Dayong Tian, Maoguo Gong. A Novel Edge-Weight Based Fuzzy Clustering Method for Change Detection in Synthetic Aperture Radar Images. Information Sciences, Vol. 467, 2018: 415-430.

  12. Hao Li, Maoguo Gong, Qiguang Miao, Bin Wang.  Kernel Descriptor based Active Contour. Information Sciences, Vol. 450, 2018: 53-72.

  13. Wenfeng Liu, Maoguo Gong, Shanfeng Wang, Lijia Ma. A Two-level Learning Strategy based Memetic Algorithm for Enhancing Community Robustness of Networks. Information Sciences, Vol. 422, 2018: 290-304.

  14. Tao Zhan, Maoguo Gong, Jia Liu, Puzhao Zhang. Iterative Feature Mapping Network for Detecting Multiple Changes in Multi-source Remote Sensing Images. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 146, 2018: 38-51.

  15. Yu Xie, Maoguo Gong, Shanfeng Wang, Bin Yu. Community Discovery in Networks with Deep Sparse Filtering. Pattern Recognition, , Vol. 81, 2018: 50-59.

  16. Lijia Ma, Maoguo Gong, Jianan Yan, Wenfeng Liu, Shanfeng Wang. Detecting Composite Communities in Multiplex Networks: a Multilevel Memetic Algorithm. Swarm and Evolutionary Computation, Vol. 39, 2018: 177-191.

  17. Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu. Feature Hashing for Network Representation Learning. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, July 13-19, 2018, pages: 2812-2818.

 

  1. Maoguo Gong, Zhao Wang, Zexuan Zhu, Licheng Jiao. A Similarity-Based Multiobjective Evolutionary Algorithm for Deployment Optimization of Near Space Communication System. IEEE Transactions on Evolutionary Computation, Vol. 21, No. 6, 2017: 878-897.

  2. Maoguo Gong, Hao Li, Enhu Luo, Jing Liu, Jia Liu. A Multi-objective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing. IEEE Transactions on Evolutionary Computation, Vol. 21, No. 2, 2017: 234-248.

  3. Wei Zhao, Zhirui Wang, Maoguo Gong, Jia Liu. Discriminative Feature Learning for Unsupervised Change Detection in Heterogeneous Images based on a Coupled Neural Network. IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 12, 2017: 7066-7080.

  4. Maoguo Gong, Tao Zhan, Puzhao Zhang, Qiguang Miao. Superpixel-based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 5, 2017: 2658-2673.

  5. Maoguo Gong, Xudong Niu, Puzhang Zhang. Generative Adversarial Networks for Change Detection in Multi-spectral Imagery. IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 12, 2017: 2310-2314.

  6. Mingyang Zhang, Jingjing Ma, Maoguo Gong, Yongqiang Chan. Unsuperised Hyperspectral Band Selection By Fuzzy Clustering with Particle Swarm Optimization. IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 5, 2017: 773-777.

  7. Hongbing Li, Shanfeng Wang, Maoguo Gong, Qiang Chen, Liwan Chen. IM2DCA: Immune Mechanism based Multipath Decoupling Connectivity Algorithm with Fault Tolerance Under Coverage Optimization in Wireless Sensor Networks. Applied Soft Computing, Vol. 58, 2017: 540-552.

  8. Maoguo Gong, Xiangming Jiang, Hao Li. Optimization Methods for Regularization-based Ill-posed Problems: A Survey and a Multi-objective Framework (invited paper). Frontiers of Computer Science, Vol. 11, No. 3, 2017: 362-391. (PDF)

  9. Lijia Ma, Maoguo Gong, Jianan Yan, Fuyan Yuan. A Decomposition-based Multiobjective Evolutionary Algorithm for Analyzing Network Structural Balance. Information Sciences, Vol. 378, 2017: 144-160.

  10. Shanfeng Wang, Maoguo Gong, Haoliang Li, Junwei Yang, Yue Wu. Memetic Algorithm based Location and Topic Aware Recommender System. Knowledge-Based Systems, Vol. 131, 2017: 125-134.

  11. Linzhi Su, Maoguo Gong, Puzhao Zhang, Mingyang Zhang, Jia Liu, Hailun Yang. A Deep Learning and Mapping Based Ternary Change Detection Framework for Information Unbalanced Image Pairs. Pattern Recognition, Vol. 66, 2017: 213-228.

  12. Maoguo Gong, Hailun Yang, Puzhang Zhang. Feature Learning and Classification Based on Deep Learning for Ternary Change Detection in SAR Images. Photogrammetry and Remote Sensing, Vol. 129, 2017: 212-225.

  13. Maoguo Gong, Yixing Wang, Shangfeng Wang, Wenfeng Liu. Enhancing Robustness of Interdependent Network Under Recovery Based on a Two-layer-protection Model. Scientific Reports, Vol. 7, 2017: 12753.

  14. Yu Lei, Maoguo Gong, Licheng Jiao, Yu Zhou. An Adaptive Coevolutionary Memetic Algorithm for Examination Timetabling Problems. International Journal of Bio-Inspired Computation, Vol. 10, No.4, 2017: 248-257.

  15. Yi Zuo, Maoguo Gong, Licheng Jiao. Adaptive multimeme algorithm for flexible job shop scheduling problem. Natural Computing, Vol. 16, No. 4, 2017: 677-698.

  16. Hao Li, Maoguo Gong. Self-paced Convolutional Neural Networks. The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 19-25, 2017, pages: 2110-2116.

  17. Jia Liu, Maoguo Gong, Qiguang Miao. Modeling Hebb Learning Rule for Unsupervised Learning. The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 19-25, 2017, pages: 2315-2321.

  18. Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu. DRLnet: Deep Difference Representation Learning Network and an Unsupervised Optimization Framework. The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 19-25, 2017, pages: 3413-3419.

  19. Wenfeng Liu, Shanfeng Wang, Maoguo Gong, Mingyang Zhang. An Improved Multiobjective Evolutionary Approach for Community Detection in Multilayer Networks. IEEE Congress on Evolutionary Computation (CEC 2017), Donostia, Spain, June 5-8, 2017, pages: 443-449.

  20. Zedong Tang, Maoguo Gong, Mingyang Zhang. Evolutionary Multi-task Learning for Modular Extremal Learning Machine. IEEE Congress on Evolutionary Computation (CEC 2017), Donostia, Spain, June 5-8, 2017, pages: 474-479.

  21. Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu. Memetic Algorithm based Feature Selection for Hyperspectral Images Classification. IEEE Congress on Evolutionary Computation (CEC 2017), Donostia, Spain, June 5-8, 2017, pages: 495-502.

  22. Jia Liu, Maoguo Gong, Qiguang Miao. Neuron Learning Machine for Representation Learning. The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, USA, February 4-9, 2017, pages: 4961-4962. 

 

  1. Maoguo Gong, Jiaojiao Zhao, Jia Liu, Qiguang Miao, Licheng Jiao. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 1, 2016: 125-138.

  2. Qiguang Miao, Ying Cao, Ge Xia, Maoguo Gong, Jiachen Liu, Jianfeng Song. RBoost: Label Noise Robust Boosting Algorithm Based on a Non-convex Loss Function and the Numerically Stable Base learners. IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 11, 2016: 2216-2228.

  3. Maoguo Gong, Hao Li, Xiang Zhang, Qiunan Zhao, Bin Wang. Nonparametric Statistical Active Contour based on Inclusion Degree of Fuzzy Sets.  IEEE Transactions on Fuzzy Systems, Vol. 24, No. 5, 2016: 1176-1192.

  4. Luping Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao. Constrained Subproblems in Decomposition based Multiobjective Evolutionary Algorithm. IEEE Transactions on Evolutionary Computation, Vol. 20, No. 3, 2016: 475-480.

  5. Xiaoliang Ma, Fang Liu, Yutao Qi, Xiaodong Wang, Lingling Li, Licheng Jiao, Minglei Yin, Maoguo Gong. A multiobjective evolutionary algorithm based on decision variable analyses for multi-objective optimization problems with large scale variables. IEEE Transactions on Evolutionary Computation, Vol. 20, No. 2, 2016: 275-298.

  6. Maoguo Gong, Chao Song, Chao Duan, Lijia Ma, Bo Shen. An Efficient Memetic Algorithm for Influence Maximization in Social Networks. IEEE Computational Intelligence Magazine, Vol. 11, No. 3, 2016: 22-33.

  7. Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu. Coupled Dictionary Learning for Change Detection from Multi-source Data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 12, 2016: 7077-7091.

  8. Qiguang Miao, Tiange Liu, Jianfeng Song, Maoguo Gong, Yun Yang. Guided Superpixel Method for Topographic Map Processing. IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 11, 2016: 6265-6279.

  9. Maoguo Gong, Mingyang Zhang, Yuan Yuan. Unsupervised Band Selection Based on Evolutionary Multi-objective Optimization for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 1, 2016: 544-557.

  10. Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao. Adaptive Replacement Strategies for Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Transactions on Cybernetics, Vol. 46, No. 2, 2016: 474-486.

  11. Maoguo Gong, Zhenlin Peng, Lijia Ma, Jiaxiang Huang. Global Biological Network Alignment by Using Efficient Memetic Algorithm. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 13, No. 6, 2016: 1117-1129.

  12. Hui Zhang, Maoguo Gong, Puzhao Zhang, Linzhi Su, Jiao Shi. Feature-level Change Detection Using Deep Representation and Feature Change Analysis for Multi-spectral Imagery. IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 11, 2016: 1666-1670.

  13. Jianan Yan, Maoguo Gong, Lijia Ma, Shanfeng Wang, Bo Shen. Structure Optimization based on Memetic Algorithm for Adjusting Epidemic Threshold on Complex Networks. Applied Soft Computing,  Vol. 49, 2016: 224-237.

  14. Hao Li, Maoguo Gong, Qiao Wang, Jia Liu, Linzhi Su. A Multiobjective Fuzzy Clustering Method for Change Detection in Synthetic Aperture Radar Images. Applied Soft Computing, Vol. 46, 2016: 767-777.

  15. Maoguo Gong, Jianan Yan, Bo Shen, Lijia Ma, Qing Cai. Influence Maximization in Social Networks Based on Discrete Particle Swarm Optimization. Information Sciences, Vol. 368, 2016: 600-614.

  16. Dayong Tian, Maoguo Gong, Linzhi Su. Generalized Correlation for Shape Alignment. Information Sciences, Vol. 363, 2016: 40-51.

  17. Maoguo Gong, Yue Wu, Qing Cai, Wenping Ma, Kai Qin, Zhao Wang, Licheng Jiao. Discrete Particle Swarm Optimization for High-Order Graph Matching. Information Sciences, Vol. 328, 2016: 158-171.

  18. Qing Cai, Lijia Ma, Maoguo Gong, Dayong Tian. A Survey on Network Community Detection Based on Evolutionary Computation. International Journal of Bio-Inspired Computation, Vol. 8, No. 2, 2016: 84-98.

  19. Shanfeng Wang, Maoguo Gong, Hao Li, Jie Yang. Multi-objective optimization for long tail recommendation Knowledge-Based Systems, Vol. 104, 2016: 145-155.

  20. Puzhao Zhang, Maoguo Gong, Linzhi Su, Jia Liu, Zhizhou Li. Change Detection based on Deep Feature Representation and Mapping Transformation for Multi-Spatial-Resolution Remote Sensing Images. Photogrammetry and Remote Sensing, Vol. 116, 2016: 24-41.

  21. Yi Zuo, Jiulin Zeng, Maoguo Gong, Licheng Jiao. Tag-Aware Recommender Systems Based on Deep Neural Networks.  Neurocomputing, Vol. 204, 2016: 51-60.

  22. Shanfeng Wang, Maoguo Gong, Haifeng Du, Lijia Ma. Optimizing dynamical changes of structural balance in signed network based on memetic algorithm. Social Networks, Vol. 44, 2016: 64-73.

  23. Jia Liu, Maoguo Gong, Jiaojiao Zhao, Hao Li, Licheng Jiao. Difference Representation Learning Using Stacked Restricted Boltzmann Machines for Change Detection in SAR Images. Soft Computing, Vol. 20, No. 12, 2016: 4645-4657.

  24. Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang. Enhancing Evolutionary Multifactorial Optimization based on Particle Swarm Optimization. IEEE Congress on Evolutionary Computation (CEC 2016), Vancouver, Canada, July 24-29, 2016, pages: 1658-1665.

  25. Zhao Wang, Maoguo Gong, Yu Lei, Shanfeng Wang, Linzhi Su. A Memetic Algorithm based on MOEA/D for Near Space Communication System Deployment Optimization on Tide User Model. IEEE Congress on Evolutionary Computation (CEC 2016), Vancouver, Canada, July 24-29, 2016, pages: 3614-3621.

  26. Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao. Multi-objective Self-paced Learning. The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, USA, February 12-17, 2016, pages: 1802-1808.

 

  1. Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su. A Multiobjective Sparse Feature Learning Model for Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 12, 2015: 3263-3277.

  2. Qing Cai, Maoguo Gong, Shasha Ruan, Qiguang Miao, Haifeng Du. Network Structural Balance Based on Evolutionary Multiobjective Optimization: A Two-Step Approach. IEEE Transactions on Evolutionary Computation, Vol. 19, No. 6, 2015: 903-916.

  3. Yi Zuo, Maoguo Gong, Jiulin. Zeng, Lijia Ma, Licheng Jiao. Personalized Recommendation based on Evolutionary Multi-objective Optimization. IEEE Computational Intelligence Magazine, Vol. 10, No. 1, 2015: 52-62.

  4. Yu Li, Maoguo Gong, Licheng Jiao, Lin Li, Rustam Stolkin. Change-detection Map Learning using Matching Pursuit. IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 8, 2015: 4712-4723.

  5. Weisheng Chen, Shuzhi Sam Ge, Jian Wu, Maoguo Gong. Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-feedback Systems with Tracking Accuracy Known a Priori. IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 9, 2015: 1842-1854.

  6. Maoguo Gong, Lijia Ma, Qing Cai, Licheng Jiao. Enhancing robustness of coupled networks under targeted recoveries. Scientific Reports, Vol. 5, 2015: 8439.

  7. Maoguo Gong, Dayong Tian, Linzhi Su, Licheng Jiao. An Efficient Bi-convex Fuzzy Variational Image Segmentation Method. Information Sciences, Elsevier, Vol. 293, 2015: 351-369. 

  8. Qing Cai, Maoguo Gong, Lijia Ma, Shasha Ruan, F. Yuan, Licheng Jiao. Greedy Discrete Particle Swarm Optimization for Large Scale Social Network Clustering. Information Sciences, Elsevier, Vol. 316, 2015: 503-516

  9. Meng Jia, Maoguo Gong, Licheng Jiao. Hyperspectral Image Segmentation using Discontinuity Adaptive Class-Relative Nonlocal Means and Energy-Entropy Fusion Strategy. Photogrammetry and Remote Sensing, Vol: 106, 2015: 16-27.

  10. Lijia Ma, Maoguo Gong, Haifeng Du, Bo Shen, Licheng Jiao. A memetic algorithm for computing and transforming structural balance in signed networks. Knowledge-Based Systems, Vol: 85, 2015: 196-209.

  11. Jia Liu, Maoguo Gong, Qiguang Miao, Linzhi Su, Hao Li. Change Detection in Synthetic Aperture Radar Images Based on Unsupervised Artificial Immune Systems. Applied Soft Computing, Vol. 34, 2015: 151-163.

  12. Yue Wu, Wenping Ma, Maoguo Gong, Hao Li, Licheng Jiao. Novel Fuzzy Active Contour Model With Kernel Metric for Image Segmentation. Applied Soft Computing, Vol. 34, 2015: 301-311.

  13. Chi Wang, Maoguo Gong, Mingyang Zhang, Yongqiang Chan. Unsupervised Hyperspectral Image Band Selection via Column Subset Selection. IEEE Geoscience and Remote Sensing Letters, Vol. 12, No.7, 2015, 1411-1455.

  14. Hao Li, Maoguo Gong, Jia Liu. A Local Statistical Fuzzy Active Contour Model for Change Detection. IEEE Geoscience and Remote Sensing Letters, Vol. 12, No.3, 2015: 582-586.

  15. Yue Wu, Wenping Ma, Maoguo Gong, Linzhi Su, Licheng Jiao. A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image RegistrationIEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 1, 2015: 43-47.

  16. Hao Li, Jingjing Ma, Maoguo Gong, Qiongzhi Jiang, Licheng Jiao. Change detection in synthetic aperture radar images based on evolutionary multiobjective optimization with ensemble learning.  Memetic Computing, Springer, Vol. 7, No. 4, 2015: 275-289.

  17. Qing Cai, Maoguo Gong, Lijia Ma, Licheng Jiao. A Novel Clonal Selection Algorithm for Community Detection in Complex Networks. Computational Intelligence, Vol. 31, No. 3, 2015: 442-464.

  18. Bingrui Geng, Lin Li, Licheng Jiao, Maoguo Gong, Qing Cai, Yue Wu. NNIA-RS: A multi-objective optimization based recommender system. Physica A, Vol. 424, 2015: 383-397.

  19. Shanfeng Wang, Maoguo Gong, Bo Shen, Zhao Wang, Qing Cai, Licheng Jiao. Deep Community Detection based on Memetic Algorithm. IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, May 25-28, 2015, pages: 648-655.

  20. Qing Cai, Maoguo Gong, Lijia Ma, Shafeng Wang, Licheng Jiao, Haifeng Du. A Particle Swarm Optimization Approach for Handling Network Social Balance problem. IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, May 25-28, 2015, pages: 3186-3191.

 

  1. Maoguo Gong, Qing Cai, Xiaowei Chen, Lijia Ma. Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition. IEEE Transactions on Evolutionary Computation, Vol. 18, No. 1, 2014: 82-97.

  2. Lin Li, Xin Yao, Rustam Stolkin, Maoguo Gong, Shan He. An Evolutionary Multi-objective Approach to Sparse Reconstruction. IEEE Transactions on Evolutionary Computation, Vol: 18, No. 6, 2014: 827-845.

  3. Maoguo Gong, Linzhi Su, Meng Jia, Weisheng Chen. Fuzzy Clustering with Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images. IEEE Transactions on Fuzzy Systems, Vol. 22, No. 1, 2014: 98-109.

  4. Maoguo Gong, Shengmeng Zhao, Licheng Jiao, Dayong Tian, Shanfeng Wang. A Novel Coarse-to-Fine Scheme for Automatic Image Registration based on SIFT and Mutual Information. IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 7, 2014: 4328-4338.

  5. Jianshe Wu, Zhiyan Chang, Lin Yuan, Yunting Hou, Maoguo Gong. A Memetic Algorithm for the Resource Allocation Problem Based on Node-Weighted Graphs. IEEE Computational Intelligence Magazine, Vol. 9, No.2, 2014: 58-69.

  6. Maoguo Gong, Yu Li, Licheng Jiao, Meng Jia, Linzhi Su. SAR Change Detection based on Intensity and Texture Changes. Photogrammetry and Remote Sensing, Vol. 93, No. C, 2014: 123-135.

  7. Yu Lei, Maoguo Gong, Jun Zhang, Wei Li, Licheng Jiao. Resource Allocation Model and Double-Sphere Crowding Distance for Evolutionary Multi-objective Optimization. European Journal of Operational Research, Vol. 234, No. 1, 2014: 197-208.

  8. Qing Cai, Maoguo Gong, Bo Shen, Licheng Jiao. Discrete Particle Swarm Optimization for Identifying Community Structures in Signed Social Networks. Neural Networks, Vol. 58, 2014: 4-13.

  9. Lijia Ma, Maoguo Gong, Jia Liu, Qing Cai, Licheng Jiao. Multi-level Learning based Memetic Algorithm for Community Detection. Applied Soft Computing, Vol. 19, No. 1, 2014: 121-133.

  10. Maoguo Gong, Meng Jia, Linzhi Su, Shanfeng Wang, Licheng Jiao. Detecting Changes of the Yellow River Estuary via SAR Images Based on Local Fit-Search Model and Kernel-Induced Graph Cuts. International Journal of Remote Sensing, Vol. 35, No. 11-12, 2014: 4009-4030.

  11. Linzhi Su, Maoguo Gong, Bo Sun. Change Detection in Synthetic Aperture Radar Images based on Non-local Means with Ratio Similarity Measurement. International Journal of Remote Sensing, Vol. 35, No. 22, 2014: 7673-7690.

  12. Linzhi Su, Maoguo Gong, Bo Sun, Licheng Jiao. Unsupervised Change Detection in SAR Images Based on Locally Fitting Model and Semi-EM Algorithm. International Journal of Remote Sensing, Vol. 35, No. 2, 2014: 621-650.

  13. Meng Jia, Maoguo Gong, Erlei Zhang, Yu Li, Licheng Jiao. Hyperspectral Image Classification Based on Nonlocal Means with a Novel Class-Relativity Measurement. IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 7, 2014, 1300-1304.

  14. Maoguo Gong, Jia Liu, Lijia Ma, Qing Cai, Licheng Jiao. Novel Heuristic Density-Based Method for Community Detection in Networks. Physica A, Vol. 403, No. 1, 2014: 71-84.

  15. Yixiang Sun, Haifeng Du, Maoguo Gong, Lijia Ma, Shanfeng Wang. Fast computing global structural balance in signed networks based on memetic algorithm. Physica A, Vol. 415, 2014: 261-272.

  16. Shanfeng Wang, Maoguo Gong, Lijia Ma, Qing Cai, Licheng Jiao. Decomposition based Multiobjective Evolutionary Algorithm for Collaborative Filtering Recommender Systems. IEEE Congress on Evolutionary Computation (CEC 2014), Beijing, China, July 6-11, 2014, pages: 672-679.

  17. Zhao Wang, Maoguo Gong, Qing Cai, Lijia Ma, Licheng Jiao. Deployment Optimization of Near Space Airships based on MOEA/D with Local Search. IEEE Congress on Evolutionary Computation (CEC 2014), Beijing, China, July 6-11, 2014, pages: 2345-2352.

  18. Jiaojiao Zhao, Maoguo Gong, Jia Liu, Licheng Jiao. Deep Learning to Classify Difference Image for Image Change Detection. International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, July 6-11, 2014, pages: 411-417.

 

  1. Maoguo Gong, Yan Liang, Jiao Shi, Wenping Ma, Jingjing Ma. Fuzzy C-Means Clustering with Local Information and Kernel Metric for Image Segmentation. IEEE Transactions on Image Processing, Vol. 22, No. 2, 2013: 573-584.

  2. Maoguo Gong, Xiaowei Chen, Lijia Ma, Qingfu Zhang, Licheng Jiao. Identification of multi-resolution network structures with multi-objective immune algorithm. Applied Soft Computing, Vol. 13, No. 4, 2013: 1705-1717.

  3. Lijia Ma, Maoguo Gong, Qing Cai, Licheng Jiao. Enhancing Community Integrity of Networks Against Multilevel Targeted Attacks. Physical Review E, Vol. 88, No. 2, 2013: 022810. (Selected as "Kaleidoscope" on the cover)

  4. Zhiguo Zhou, Fang Liu, Licheng Jiao, Zhijie Zhou, Jianbo Yang, Maoguo Gong, Xiang Zhang. A Bi-level Belief Rule based Decision Support System for Diagnosis of Lymph Node Metastasis in Gastric Cancer. Knowledge-Based Systems, Vol 54, 2013: 128-136.

  5. Shanfeng Wang, Kun Liu, Jingjing Pei, Maoguo Gong, Yachao Liu. Unsupervised Classification of Fully Polarimetric SAR Images Based on Scattering Power Entropy and Co-polarized Ratio. IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 3, 2013: 622-626.

  6. Huming Zhu, Yu Cao, Zhiqiang Zhou, Maoguo Gong, Licheng Jiao. Parallel Unsupervised Synthetic Aperture Radar Image Change Detection on a Graphics Processing Unit. International Journal of High Performance Computing Applications, Vol. 27, No. 2, 2013: 109-122.

  7. Jie Feng, Licheng Jiao, Xiangrong Zhang, Maoguo Gong, Tao Sun. Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation. Signal Processing, Vol. 93, No. 2, 2013: 487-499. 

  8. Maoguo Gong, Zhiqiang Zhou, Jingjing Ma. Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering. IEEE Transactions on Image Processing, Vol. 21, No. 4, 2012: 2141-2151.

  9. Maoguo Gong, Jian Zhang, Jian Ma, Licheng Jiao. An Efficient Negative Selection Algorithm with Further Training for Anomaly Detection. Knowledge-Based Systems, Vol. 30, 2012: 185-191.

  10. Maoguo Gong, Yu Cao, Qiaodi Wu. A Neighborhood-Based Ratio Approach for Change Detection in SAR Images. IEEE Geoscience and Remote Sensing Letters, Vol. 9, No. 2, 2012: 307-311.

  11. Maoguo Gong, Lijia Ma, Qingfu Zhang, Licheng Jiao. Community Detection in Networks by Using Multiobjective Evolutionary Algorithm with Decomposition. Physica A, Vol. 391, No. 15, 2012: 4050-4060.

  12. Maoguo Gong, Lining Zhang, Jingjing Ma, Licheng Jiao. Community Detection in Dynamic Social Networks Based on Multiobjective Immune Algorithm. Journal of Computer Science and Technology, Vol. 27, No. 3, 2012: 455-467.

  13. Jingjing Ma, Maoguo Gong, Zhiqiang Zhou. Wavelet Fusion on Ratio Images for Change Detection in SAR Images. IEEE Geoscience and Remote Sensing Letters, Vol. 9, No. 6, 2012: 1122-1126.

  14. Yutao Qi, Fang Liu, Meiyun Liu, Maoguo Gong, Licheng Jiao. Multi-objective immune algorithm with Baldwinian learning. Applied Soft Computing, Vol. 12, No. 8, 2012: 2654-2674.

  15. Fanhua Shang, Licheng Jiao, Jiao Shi, Fei Wang, Maoguo Gong. Fast Affinity Propagation Clustering: a Multilevel Approach. Pattern Recognition, Vol. 45, No. 1, 2012: 474-486.

  16. Maoguo Gong, Qing Cai, Yyangyang Li, Jingjing Ma. An Improved Memetic Algorithm for Community Detection in Complex Networks IEEE Congress on Evolutionary Computation (CEC 2012), Brisbane, Australia, June 10-15, 2012.

  17. Maoguo Gong, Bao Fu, Licheng Jiao, Haifeng Du. Memetic Algorithm for Community Detection in Networks. Physical Review E, Vol. 84, No. 5, 2011: 056101.

  18. Hongxiao Feng, Biao Hou, Maoguo Gong. SAR Image Despeckling Based on Local Homogeneous Region Segmentation by Using Pixel Relativity Measurement. IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 7, 2011: 2724-2737.

  19. Maoguo Gong, Licheng Jiao, Lining Zhang. Baldwinian Learning in Clonal Selection Algorithm for Optimization. Information Sciences, Elsevier, Vol. 180, No.8, 2010: 1218-1236.

  20. Maoguo Gong, Licheng Jiao, Fang Liu, Wenping Ma. Immune Algorithm with Orthogonal Design based Initialization, Cloning, and Selection for Global Optimization. Knowledge and Information Systems, Springer, Vol. 25, No. 3, 2010: 523-549.

  21. Maoguo Gong, Licheng Jiao, Fang Liu, Jie Yang. Memetic computation based on regulation between neural and immune systems: the framework and a case study Science China Information Sciences, Vol. 53, No. 8, 2010: 1519-1527.

  22. Maoguo Gong, Licheng Jiao, Jie Yang. Lamarckian Learning in Clonal Selection Algorithm for Optimization. International Journal on Artificial Intelligence Tools, Vol. 19, No. 1, 2010: 19-37.

  23. Maoguo Gong, Chao Liu, Licheng Jiao, Gang Cheng. Hybrid Immune Algorithm with Lamarckian Local Search for Multi-objective Optimization. Memetic Computing, Springer, Vol. 2, No. 1, 2010: 47-67.

  24. Licheng Jiao, Maoguo Gong, Shanfeng Wang, Biao Hou, Zhi Zheng, Qiaodi Wu. Natural and Remote Sensing Image Segmentation Using Memetic Computing. IEEE Computational Intelligence Magazine, Vol. 5, No. 2, 2010: 78-91.

  25. Maoguo Gong, Licheng Jiao, Wenping Ma, Jingjing Ma. Intelligent Multi-user Detection Using an Artificial Immune System. Science in China Series F: Information Sciences, Vol. 52, No. 12, 2009: 2342-2353.

  26. Maoguo Gong, Licheng Jiao, Lining Zhang, Haifeng Du. Immune secondary response and clonal selection inspired optimizers. Progress in Natural Science, Elsevier, Vol. 19, No. 2, 2009: 237-253.

  27. Maoguo Gong, Licheng Jiao, Dongdong Yang. Corrections on the Box Plots of the Coverage Metric in Multiobjective Immune Algorithm with Nondominated Neighbor-based Selection. Evolutionary Computation, MIT Press, Vol. 17, No. 1, 2009: 131-134.

  28. Maoguo Gong, Licheng Jiao, Xiang Zhang. A Population-based Artificial Immune System for Numerical Optimization. Neurocomputing, Vol. 72, No. 1-3, 2008: 149-161.

  29. Licheng Jiao, Yangyang Li, Maoguo Gong, Xiang Zhang. Quantum-Inspired Immune Clonal Algorithm for Global Optimization. IEEE Transactions on System, Man, and Cybernetics, Part B, Vol. 38, No.5, 2008: 1234-1253.

  30. Maoguo Gong, Licheng Jiao, Wenping Ma, Haifeng Du. Multiobjective Optimization Using an Immunodominance and Clonal Selection Inspired Algorithm. Science in China Series F: Information Sciences, Vol. 51, No. 8, 2008: 1064-1082.

  31. Maoguo Gong, Licheng Jiao, Liefeng Bo, Luping Wang, Xiang Zhang. Image Texture Classification Using a Manifold Distance based Evolutionary Clustering Method. Optical Engineering, Vol. 47, No. 7, 2008: 077201-1- 077201-10.

  32. Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo. Multiobjective Immune Algorithm with Nondominated Neighbor-based Selection. Evolutionary Computation, MIT Press, Vol.16, No.2, 2008: 225-255.

  33. Maoguo Gong, Haifeng Du, Licheng Jiao. Optimal approximation of linear systems by artificial immune response. Science in China Series F: Information Sciences, Vol. 49, No.1, 2006: 63-79.

  34. Haifeng Du, Maoguo Gong, Ruochen Liu, Licheng Jiao. Adaptive chaos clonal evolutionary programming algorithm. Science in China Series F: Information Sciences, Vol. 48, No. 5, 2005: 579-595.

  35. Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang. Interactive MOEA/D for Multi-objective Decision Making. The 13th Annual Genetic and Evolutionary Computation Conference (GECCO 2011), Dublin, Ireland, July 12-16, 2011, pages: 721-728.

  36. Maoguo Gong, Tian Hou, Bao Fu, Licheng Jiao. A Non-dominated Neighbor Immune Algorithm for Community Detection in Networks. The 13th Annual Genetic and Evolutionary Computation Conference (GECCO 2011), Dublin, Ireland, July 12-16, 2011, pages: 1627-1634.

  37. Zhi Zheng, Maoguo Gong, Jingjing Ma, Licheng Jiao, Qiaodi Wu. Unsupervised Evolutionary Clustering Algorithm for Mixed Type Data. IEEE Congress on Evolutionary Computation (CEC2010), Barcelona, Spain, July 18-23, 2010.

  38. Fang Liu, Maoguo Gong, Jingjing Ma, Licheng Jiao, Wei Zhang. Optimizing Detector Distribution in V-detector Negative Selection Using a Constrained Multiobjective Immune Algorithm. IEEE Congress on Evolutionary Computation (CEC2010), Barcelona, Spain, July 18-23, 2010.

  39. Maoguo Gong, Licheng Jiao, Wenping Ma, R. Shang. Hybrid Immune Algorithm with Intelligent Recombination. IEEE Congress on Evolutionary Computation (CEC2009), Trondheim, Norway, 18-21 May, 2009, pages: 1807-1814.

  40. Lining Zhang, Maoguo Gong, Licheng Jiao, Jie Yang. Improved Clonal Selection Algorithm based on Baldwinian Learning. IEEE Congress on Evolutionary Computation (CEC2008), Hong Kong, China, June 1-6, 2008, pages: 519-526.

  41. Jie Yang, Maoguo Gong, Licheng Jiao, Lining Zhang. Improved Clonal Selection Algorithm Based on Lamarckian Local Search Technique. IEEE Congress on Evolutionary Computation (CEC2008), Hong Kong, China, June 1-6, 2008, pages: 535-541.  

  42. Maoguo Gong, Lining Zhang, Licheng Jiao, S. Gou. Solving Multiobjective Clustering Using an Immune-inspired Algorithm. IEEE Congress on Evolutionary Computation (CEC2007), Singapore, September 25-28, 2007, pages: 15-22.

  43. Maoguo Gong, Licheng Jiao, Wenping Ma, S. Gou. Solving Multidimensional Knapsack Problems by an Immune-inspired Algorithm. IEEE Congress on Evolutionary Computation (CEC2007), Singapore, September 25-28, 2007, pages: 3385-3391.

  44. Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo. Density-Sensitive Evolutionary Clustering. The 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), Nanjing, China, May 22-25, 2007, pages: 507-514.

  45. Maoguo Gong, Licheng Jiao, Fang Liu, Haifeng Du. The Quaternion Model of Artificial Immune Response. The Fourth International Conference on Artificial Immune Systems (ICARIS 2005), Banff, Canada, August 14-17, 2005, pages: 207-219.

  46. Licheng Jiao, Maoguo Gong, Ronghua Shang, Haifeng Du, Bin Lu. Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization. The Third International Conference on Evolutionary Multi-Criterion Optimization (EMO 2005), Guanajuato, Mexico, March 9-11, 2005, pages: 474-489.

  47. Wentao Huang, Licheng Jiao, Shan Tan, Maoguo Gong. Response Analysis of Neuronal Population with Synaptic Depression. Advances in Neural Information Processing Systems 18 (NIPS 2005), Vancouver, Canada, December 5-8, 2005, pages: 523-530.

  48. Maoguo Gong, Haifeng Du, Licheng Jiao, Ling Wang. Immune Clonal Selection Algorithm for Multiuser Detection in DS-CDMA Systems. The 17th Australian Joint Conference on Artificial Intelligence (AI 2004), Cairns, Australia, December 4-6, 2004, pages: 1219-1225.

[go top]