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Survey Papers and Books

  1. 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)

  2. Maoguo Gong, Qing Cai, Lijia Ma, Shanfeng Wang, Yu Lei. Computational Intelligence for Network Structure Analytics. Springer, 2017, ISBN: 978-981-10-4557-8.

  3. Maoguo Gong, Qing Cai, Lijia Ma, Licheng Jiao. Big Network Analytics Based on Nonconvex Optimization. Big Data Optimization, Springer, 2016: 345-373.

  4. Maoguo Gong, Linzhi Su, Hao Li, Jia Liu. A Survey on Change Detection in Synthetic Aperture Radar Images (in Chinese, invited paper). Journal of Computer Research and Development, Vol. 53, No. 1, 2016: 123-137.

  5. Maoguo Gong, Licheng Jiao, Dongdong Yang, Wenping Ma. Research on Evolutionary Multi-Objective Optimization Algorithms. Journal of Software, Vol. 20, No. 2, 2009: 271-289. (A Chinese survey of Evolutionary Multi-Objective Optimization, Forerunners 5000 Top Chinese S&T Paper, more than 300 citations)


Selected Journal Papers   

  1. 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.

  2. 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, 2017, in press.

  3. 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.

  4. 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 Multiobjective Optimization Problems with Large Scale Variables. IEEE Transactions on Evolutionary Computation, Vol. 20, No. 2, 2016: 275-298.

  5. 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.

  6. 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.

  7. 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.

  8. 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, 2017, in press.

  9. 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, 2017, in press.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. Licheng Jiao, Maoguo Gong, Shuang. 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.

  20. 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, 2017, in press.

  21. 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, 2017, in press.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. Maoguo Gong, Shengmeng Zhao, Licheng Jiao, Dayong Tian, Shuang 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. Licheng Jiao, Yangyang Li, Maoguo Gong, Xiangrong 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.

  33. Jiaxiang Huang, Maoguo Gong, Lijia Ma. A Global Network Alignment Method Using Discrete Particle Swarm Optimization. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016, in press.

  34. 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.

  35. 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.

  36. 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.

  37. 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.

  38. 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.

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

  40. 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.

  41. 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.

  42. 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.

  43. 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.

  44. 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.

  45. 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.

  46. 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.

  47. 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.

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

  49. 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.

  50. 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.

  51. 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.

  52. Wenfeng Liu, Maoguo Gong, Shanfeng Wang, Lijia Ma. A Two-level Learning Strategy based Memetic Algorithm for Enhancing Community Robustness of Networks. Information Sciences, 2017, in press.

  53. 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.

  54. 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.

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

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

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

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

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

  60. Yu Lei, Maoguo Gong, Licheng Jiao, Yu Zhou. An Adaptive Coevolutionary Memetic Algorithm for Examination Timetabling Problems. International Journal of Bio-Inspired Computation, 2016, in press.

  61. 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.

  62. 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.

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

  64. 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.

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

  66. 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.

  67. 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.

  68. 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.

  69. 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.

  70. 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.

  71. 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, 2014: 123-135.

  72. 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.

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

  74. Maoguo Gong, Lijia Ma, Qing Cai, Licheng Jiao. Enhancing Robustness of Coupled Networks under Targeted Recoveries. Scientific Reports, Vol. 5, 2015: 8439.

  75. 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.

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Selected Conference Papers

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  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, 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.  

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.  

  29. 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.

  30. 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. 

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