Welcome to Maoguo Gong's Homepages

[Publications]

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

　

Survey Papers and Books

  1. Xun Zhou, A. K. Qin, Maoguo Gong, Kay Chen Tan. A Survey on Evolutionary Construction of Deep Neural Networks. IEEE Transactions on Evolutionary Computation,  Vol. 25, No. 5, 2021: 894-912.

  2. 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.

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

  4. 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)

  5. 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.

  6. 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 500 citations)

Selected Journal Papers

  1. Maoguo Gong, Yuan Gao, Yue Wu, Yuanqiao Zhang, A. K. Qin, Yew-Soon Ong. Heterogeneous Multi-Party Learning with Data-Driven Network Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, No. 11, 2023: 13328-13343.

  2. Yue Wu, Jinlong Sheng, Hangqi Ding, Peiran Gong, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao. Evolutionary Multitasking Descriptor Optimization for Point Cloud Registration. IEEE Transactions on Evolutionary Computation, 2024, in press.

  3. Hao Li, Pu Xiong, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing. Fast Heterogeneous Multi-Problem Surrogates for Transfer Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 2024, in press.

  4. Hao Li, Fanggao Wan, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing. Privacy-Enhanced Multitasking Particle Swarm Optimization based on Homomorphic Encryption. IEEE Transactions on Evolutionary Computation, 2024, in press.

  5. Kuangda Lyu, Hao Li, Maoguo Gong, Lining Xing, A. K. Qin. Surrogate-Assisted Evolutionary Multiobjective Neural Architecture Search Based on Transfer Stacking and Knowledge Distillation. IEEE Transactions on Evolutionary Computation, Vol. 28, No. 3, 2024: 608-622.

  6. Yiting Liu, Hao Li, Maoguo Gong, A. K. Qin. Nonzero Degree-based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery. IEEE Transactions on Evolutionary Computation, Vol. 28, No. 2, 2024: 374-387.

  7. Yue Wu, Hangqi Ding, Maoguo Gong, A. K. Qin, Wenping Ma, Qiguang Miao, Kay Chen Tan. Evolutionary Multiform Optimization Two-stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. IEEE Transactions on Evolutionary Computation, Vol. 28, No. 1, 2024: 62-76.

  8. Zhao Wang, Maoguo Gong, Peng Li, Fei Xie, Mingyang Zhang. A Bilevel Gene-Based Multiobjective Memetic Algorithm for Passive Localization System Deployment Optimization. IEEE Transactions on Evolutionary Computation, Vol. 27, No. 2, 2023: 355-367.

  9. 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, Vol. 25, No. 2, 2021: 262-276.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. K. Qin. One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration. IEEE Transactions on Neural Networks and Learning Systems, 2024, in press.

  19. Yiheng Lu, Maoguo Gong, Kaiyuan Feng, Jialu Liu, Ziyu Guan, Hao Li. SAAF: Self-Adaptive Attention Factor-Based Taylor-Pruning on Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 2024, in press.

  20. Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang. CCGIB: A Cross-Channel Graph Information Bottleneck Principle. IEEE Transactions on Neural Networks and Learning Systems, 2024, in press.

  21. Yourun Zhang, Maoguo Gong, Jianzhao Li, Kaiyuan Feng, Mingyang Zhang. Few-Shot Learning with Enhancements to Data Augmentation and Feature Extraction. IEEE Transactions on Neural Networks and Learning Systems, 2024, in press.

  22. Yourun Zhang, Maoguo Gong, Mingyang Zhang, Jianzhao Li. Self-Supervised Monocular Depth Estimation with Self-Perceptual Anomaly Handling. IEEE Transactions on Neural Networks and Learning Systems, 2023, in press.

  23. Yuan Gao, Maoguo Gong, Yew-Soon Ong, A. K. Qin, Yue Wu, Fei Xie. A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis. IEEE Transactions on Neural Networks and Learning Systems, 2023, in press.

  24. Yue Wu, Yue Zhang, Wenping Ma, Maoguo Gong, Xiaolong Fan, Mingyang Zhang, A. K. Qin, Qiguang Miao. RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations. IEEE Transactions on Neural Networks and Learning Systems, 2023, in press.

  25. Yuanqiao Zhang, Maoguo Gong, Yuan Gao, A. K. Qin, Kun Wang, Yiming Lin, Shanfeng Wang. Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images. IEEE Transactions on Neural Networks and Learning Systems, 2023, in press.

  26. Mingyang Zhang, Tianqi Gao, Maoguo Gong, Shengqi Zhu Yue Wu, Hao Li. Semisupervised Change Detection Based on Bihierarchical Feature Aggregation and Extraction Network. IEEE Transactions on Neural Networks and Learning Systems, 2023, in press.

  27. Maoguo Gong, Hui Zhou, A. K. Qin, Wenfeng Liu, Zhongying Zhao. Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification. IEEE Transactions on Neural Networks and Learning Systems, Vol. 34, No. 11, 2023: 9234-9247.

  28. Bin Zhao, Maoguo Gong, Xuelong Li. AudioVisual Video Summarization. IEEE Transactions on Neural Networks and Learning Systems, Vol. 34, No. 8, 2023: 5181-5188.

  29. Xiaolong Fan, Maoguo Gong, Zedong Tang, Yue Wu. Deep Neural Message Passing with Hierarchical Layer Aggregation and Neighbor Normalization. IEEE Transactions on Neural Networks and Learning Systems, Vol. 33, No. 12, 2022: 7172-7184.

  30. 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, Vol. 33, No. 1, 2022: 244-256.

  31. 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, Vol. 32, No. 1, 2021: 420-434.

  32. Jia Liu, Maoguo Gong, A. K. 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.

  33. 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.

  34. 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.

  35. 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.

  36. 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.

  37. Maoguo Gong, Yue Zhao, Hao Li, A. K. Qin, Lining Xing, Jianzhao Li, Yiting Liu, Yuhao Liu. Deep Fuzzy Variable C-Means Clustering Incorporated With Curriculum Learning. IEEE Transactions on Fuzzy Systems, Vol. 31, No. 12, 2023: 4321-4335.

  38. 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.

  39. 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.

  40. Yue Wu, Jiaming Liu, Yongzhe Yuan, Xidao Hu, Xiaolong Fan, Kunkun Tu, Maoguo Gong, Qiguang Miao, Wenping Ma. Correspondence-Free Point Cloud Registration Via Feature Interaction and Dual Branch [Application Notes]. IEEE Computational Intelligence Magazine, Vol. 18, No. 4, 2023: 66-79.

  41. 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.

  42. 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.

  43. 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.

  44. Hao Li, Tianshi Luo, Liwen Liu, Maoguo Gong, Wenyuan Qiao, Fei Xie, A. K. Qin. Selective Transfer Based Evolutionary Multitasking Optimization for Change Detection. IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 8, No. 3, 2024: 2197-2212.

  45. Hao Li, Dezhong Li, Maoguo Gong, Jianzhao Li, A. K. Qin, Lining Xing, Fei Xie. Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 8, No. 2, 2024: 1922-1937.

  46. Yue Wu, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao. Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration. IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 8, No. 1, 2024: 110-125.

  47. Yuanqiao Zhang, Maoguo Gong, Yuan Gao, Hao Li, Lei Wang, Yixin Wang. MMPL: Multi-Objective Multi-Party Learning via Diverse Steps. IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 8, No. 1, 2024: 684-696.

  48. Kai-Yuan Feng, Maoguo Gong, Ke Pan, Hongyu Zhao, Yue Wu, Kai Sheng. Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification. IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 8, No. 1, 2024: 150-163.

  49. Yue Wu, Yibo Liu, Maoguo Gong, Peiran Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma. Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism. IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, No. 2, 2023: 357-374.

  50. Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, A. K. Qin. Multi-task Particle Swarm Optimization with Dynamic Neighbor and Level-based Inter-task Learning. IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 6, No. 2, 2022: 300-314.

  51. 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.

  52. Yuan Gao, Yuanqiao Zhang, Maoguo Gong, Qing Cai, Yu Xie, A. K. Qin. Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework. IEEE Transactions on Cybernetics, 2024, in press.

  53. Yu Xie, Yanfeng Liang, Maoguo Gong, A. K. Qin, Yew-Soon Ong, Tiantian He. Semisupervised Graph Neural Networks for Graph Classification. IEEE Transactions on Cybernetics, Vol. 53, No. 10, 2023: 6222-6235.

  54. Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong. Multiparty Dual Learning. IEEE Transactions on Cybernetics, Vol. 53, No. 5, 2023: 2955-2968.

  55. Mulin Chen, Maoguo Gong, Xuelong Li. Feature Weighted Non-Negative Matrix Factorization. IEEE Transactions on Cybernetics, Vol. 53, No. 2, 2023: 1093-1105.

  56. Zedong Tang, Maoguo Gong, Yue Wu, A. K. Qin, Kay Chen Tan. A Multifactorial Optimization Framework Based on Adaptive Inter-Task Coordinate System. IEEE Transactions on Cybernetics, Vol. 52, No. 7, 2022: 6745-6758.

  57. Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, and Fang Liu. Evolving Connections in Group of Neurons for Robust Learning. IEEE Transactions on Cybernetics, Vol. 52, No. 5, 2022: 3069-3082.

  58. 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, Vol. 52, No. 5, 2022: 2981-2993.

  59. Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao. Pareto Self-paced Learning based on Differential Evolution. IEEE Transactions on Cybernetics, Vol. 51, No. 8, 2021: 4187-4200.

  60. 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.

  61. Yan Pu, Maoguo Gong, Tongfei Liu, Mingyang Zhang, Tianqi Gao, Fenlong Jiang, Xiaobo Hu. Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 4512617.

  62. Hao Li, Pengyang Niu, Maoguo Gong, Lining Xing, Yue Wu, AK Qin. Robust Self-Paced Incremental Learning for Multitemporal Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 5642315.

  63. Yiting Liu, Jianzhao Li, Maoguo Gong, Huilin Liu, Kai Sheng, Yourun Zhang, Zedong Tang, Yu Zhou. Collaborative Self-Supervised Evolution for Few-Shot Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 4509215.

  64. Yue Zhao, Maoguo Gong, A. K. Qin, Mingyang Zhang, Zhuping Hu, Tianqi Gao, Yan Pu. Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 5632918.

  65. Shanfeng Wang, Jianzhao Li, Zaitian Liu, Maoguo Gong, Yourun Zhang, Yue Zhao, Boya Deng, Yu Zhou. Personalized Multiparty Few-Shot Learning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 4506115.

  66. Jianzhao Li, Maoguo Gong, Zaitian Liu, Shanfeng Wang, Yourun Zhang, Yu Zhou, Yuan Gao. Toward Multiparty Personalized Collaborative Learning in Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 4503616.

  67. Hao Liu, Mingyang Zhang, Ziqi Di, Maoguo Gong, Tianqi Gao, A. K. Qin. A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 5505816.

  68. Hanhong Zheng, Dongyang Li, Mingyang Zhang, Maoguo Gong, A. K. Qin, Tongfei Liu, Fenlong Jiang. Spectral Knowledge Transfer for Remote Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 4501316.

  69. Maoguo Gong, Hongyu Zhao, Yue Wu, Zedong Tang, Kai-Yuan Feng, Kai Sheng. Dual Appearance-Aware Enhancement for Oriented Object Detection. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 5602914.

  70. Tian Heng Zhang, Jian Li Zhao, Sheng Fang, Zhe Li, Mao Guo Gong. Full-Mode-Augmentation Tensor-Train Rank Minimization for Hyperspectral Image Inpainting. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 5500913.

  71. Jianzhao Li, Maoguo Gong, Weihao Li, Mingyang Zhang, Yourun Zhang, Shanfeng Wang, Yue Wu. MSANet: Multiscale Self-Attention Aggregation Network for Few-Shot Aerial Imagery Segmentation. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 4500216.

  72. Zhuping Hu, Maoguo Gong, Yiheng Lu, Jianzhao Li, Yue Zhao, Mingyang Zhang. Data Customization-Based Multiobjective Optimization Pruning Framework for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, 2024: 4508514.

  73. Maoguo Gong, Wenyuan Qiao, Hao Li, A. K. Qin, Tianqi Gao, Tianshi Luo, Lining Xing. RAFNet: Interdomain Representation Alignment and Fine-Tuning for Image Series Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, 2023: 4704416.

  74. Maoguo Gong, Tianqi Gao, Mingyang Zhang, Wei Li, Zhibin Wang, Dezhong Li. An M-Nary SAR Image Change Detection Based on GAN Architecture Search. IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, 2023: 4503718.

  75. Yiheng Lu, Maoguo Gong, Zhuping Hu, Wei Zhao, Ziyu Guan, Mingyang Zhang. Energy-Based CNN Pruning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, 2023: 3000214.

  76. Mingyang Zhang, Hao Liu, Maoguo Gong, Hao Li, Yue Wu, Xiangming Jiang. Cross-Domain Self-Taught Network for Few-Shot Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, 2023: 4501719.

  77. Jianzhao Li, Maoguo Gong, Huilin Liu, Yourun Zhang, Mingyang Zhang, Yue Wu. Multiform Ensemble Self-Supervised Learning for Few-Shot Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, 2023: 4500416.

  78. Fenlong Jiang, Maoguo Gong, Hanhong Zheng, Tongfei Liu, Mingyang Zhang, Jialu Liu. Self-Supervised Global–Local Contrastive Learning for Fine-Grained Change Detection in VHR Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, 2023: 4400613.

  79. Qiang Li, Maoguo Gong, Yuan Yuan, Qi Wang. Symmetrical Feature Propagation Network for Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022: 5536912.

  80. Xiangming Jiang, Yizhe Zhao, Maoguo Gong, Tao Zhan, Mingyang Zhang. A Vertex-Directed Evolutionary Algorithm for Multiobjective Endmember Estimation. IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022: 5535913.

  81. Maoguo Gong, Jianzhao Li, Yourun Zhang, Yue Wu, Mingyang Zhang. Two-Path Aggregation Attention Network With Quad-Patch Data Augmentation for Few-Shot Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022: 4511616.

  82. Maoguo Gong, Fenlong Jiang, A. K. Qin, Tongfei Liu, Tao Zhan, Di Lu, Hanhong Zheng, Mingyang Zhang. A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022: 5521614.

  83. Tongfei Liu, Maoguo Gong, Di Lu, Qingfu Zhang, Hanhong Zheng, Fenlong Jiang, Mingyang Zhang. Building Change Detection for VHR Remote Sensing Images via Local–Global Pyramid Network and Cross-Task Transfer Learning Strategy. IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022: 4704817.

  84. 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.

  85. 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.

  86. 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.

  87. 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.

  88. 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.

  89. 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.

  90. 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.

  91. 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.

  92. 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.

  93. 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.

  94. 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.

  95. 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.

  96. Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu. Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, 2021: 11713-11727.

  97. Hao Li, Maoguo Gong, Mingyang Zhang, Yue Wu. Spatially Self-paced Convolutional Networks for Change Detection in Heterogeneous Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, 2021: 4966-4979.

  98. Xiangming Jiang, Maoguo Gong, Tao Zhan, Kai Sheng, Mingliang Xu. Multi-objective Sparse Unmixing for Hyperspectral Data Based on Orthogonal Matching Pursuit. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, 2021: 2418-2431.

  99. 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.

  100. Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li. Maximizing Mutual Information Across Feature and Topology Views for Representing Graphs. IEEE Transactions on Knowledge and Data Engineering, 2023, in press.

  101. Xiaolong Fan, Maoguo Gong, Yue Wu, Kai Qin, Yu Xie. Propagation Enhanced Neural Message Passing for Graph Representation Learning. IEEE Transactions on Knowledge and Data Engineering, Vol. 35, No. 2, 2023: 1952-1964.

  102. 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,  Vol. 34, No. 8, 2022: 3754-3764.

  103. 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 Vol. 34, No. 7, 2022: 3309-3321.

  104. Jiaming Liu, Yue Wu, Maoguo Gong, Zhixiao Liu, Qiguang Miao, Wenping Ma. Inter-Modal Masked Autoencoder for Self-Supervised Learning on Point Clouds. IEEE Transactions on Multimedia, Vol. 26, 2024: 3897-3908.

  105. Yue Wu, Jiaming Liu, Maoguo Gong, Zhixiao Liu, Qiguang Miao, Wenping Ma. MPCT: Multiscale Point Cloud Transformer With a Residual Network. IEEE Transactions on Multimedia, Vol. 26, 2024: 3505-3516.

  106. Yue Wu, Jiaming Liu, Maoguo Gong, Peiran Gong, Xiaolong Fan, A. K. Qin, Qiguang Miao, Wenping Ma. Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding. IEEE Transactions on Multimedia, Vol. 26, 2024: 1626-1638.

  107. Yuan Gao, Maoguo Gong, Yu Xie, Kai Qin. An Attention-based Unsupervised Adversarial Model for Movie Review Spam Detection. IEEE Transactions on Multimedia, Vol. 23, 2021: 784-796.

  108. Yourun Zhang, Maoguo Gong, Jianzhao Li, Mingyang Zhang, Fenlong Jiang, Hongyu Zhao. Self-Supervised Monocular Depth Estimation With Multiscale Perception. IEEE Transactions on Image Processing, Vol. 31, 2022: 3251-3266.

  109. 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.

  110. 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.

  111. Hao Li, Zeyu Yang, Maoguo Gong, Shiguo Chen, AK Qin, Zhenxing Niu, Yue Wu, Yu Zhou. ShiftAttack: Towards Attacking the Localization Ability of Object Detector. IEEE Transactions on Circuits and Systems for Video Technology, 2024, in press.

  112. Yongzhe Yuan, Yue Wu, Mingyu Yue, Maoguo Gong, Xiaolong Fan, Wenping Ma, Qiguang Miao. Learning Discriminative Features via Multi-Hierarchical Mutual Information for Unsupervised Point Cloud Registration. IEEE Transactions on Circuits and Systems for Video Technology, 2024, in press.

  113. Yue Wu, Xidao Hu, Yue Zhang, Maoguo Gong, Wenping Ma, Qiguang Miao. SACF-Net: Skip-Attention Based Correspondence Filtering Network for Point Cloud Registration. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 33, No. 8, 2023: 3585-3595.

  114. Yue Wu, Yue Zhang, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma. INENet: Inliers Estimation Network With Similarity Learning for Partial Overlapping Registration. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 33, No. 3, 2023: 1413-1426.

  115. Jialu Liu, Maoguo Gong, Zedong Tang, A. K. Qin, Hao Li, Fenlong Jiang. Deep Image Inpainting With Enhanced Normalization and Contextual Attention. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 32, No. 10, 2022: 6599-6614.

  116. Kai-Yuan Feng, Xia Fei, Maoguo Gong, A. K. Qin, Hao Li, Yue Wu. An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity Optimization. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 32, No. 9, 2022: 5790-5802.

  117. Sijia Zhang, Maoguo Gong, Yu Xie, A. K. Qin, Hao Li, Yuan Gao, Yew-Soon Ong. Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 32, No. 8, 2022: 5427-5437.

  118. 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.

  119. Tongfei Liu, Maoguo Gong, Fenlong Jiang, Yuanqiao Zhang, Hao Li. Landslide Inventory Mapping Method Based on Adaptive Histogram-Mean Distance With Bitemporal VHR Aerial Images. IEEE Geoscience and Remote Sensing Letters, Vol. 19, 2022: 3003005.

  120. 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.

  121. 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.

  122. 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.

  123. 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.

  124. 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.

  125. 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.

  126. Xiangming Jiang, Tianqi Gao, Maoguo Gong, Fenlong Jiang, Mingyang Zhang, Jieyi Liu. Multiobjective sparse unmixing based hyperspectral change detection. Applied Soft Computing, Vol. 166, 2024: 112160.

  127. Wencheng Han, Hao Li, Maoguo Gong. Multi-Regularization Sparse Reconstruction Based on Multifactorial Multiobjective Optimization. Applied Soft Computing, Vol. 136, 2023: 110122.

  128. Wencheng Han, Hao Li, Maoguo Gong. Automatic Binary and Ternary Change Detection in SAR Images Based on Evolutionary Multiobjective Optimization. Applied Soft Computing, Vol. 125, 2022: 109200.

  129. Zhao Wang, Maoguo Gong, Peng Li, Jie Gu, Weidong Tian. A Hypervolume Distribution Entropy Guided Computation Resource Allocation Mechanism for The Multiobjective Evolutionary Algorithm Based on Decomposition. Applied Soft Computing, Vol. 116, 2022: 108297.

  130. Yongjie Du, Deyun Zhou, Yu Xie, Jiao Shi, Maoguo Gong. Federated Matrix Factorization for Privacy-Preserving Recommender Systems. Applied Soft Computing, Vol. 111, 2021: 107700.

  131. 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

  132. 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.

  133. 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.

  134. 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.

  135. 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.

  136. 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.

  137. 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.

  138. 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.

  139. 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.

  140. 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.

  141. 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.

  142. Jianli Zhao, Hao Li, Lijun Qu, Qinzhi Zhang, Qiuxia Sun, Huan Huo, Maoguo Gong. DCFGAN: An Adversarial Deep Reinforcement Learning Framework with Improved Negative Sampling for Session-based Recommender Systems. Information Sciences, Vol. 596, 2022: 222-235.

  143. Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. K. Qin. Graph Embedding via Multi-scale Graph Representations. Information Sciences, Vol. 578, 2021: 102-115

  144. Xiangming Jiang, Maoguo Gong, Tao Zhan, Hao Li. Geodesic Simplex Based Multiobjective Endmember Extraction for Nonlinear Hyperspectral Mixtures. Information Sciences, Vol. 577, 2021: 398-423.

  145. 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.

  146. Shu-juan Ji, Qi Zhang, Jinpeng Li, Dickson K.W. Chiu, Shaohua Xu, Lei Yi, Maoguo Gong. A Burst-based Unsupervised Method for Detecting Review Spammer Groups. Information Sciences, Vol. 536, 2020: 454-469.

  147. 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. 519, 2020: 22-42

  148. 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.

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

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

  151. 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.

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

  153. 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.

  154. 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.

  155. 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.

  156. 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.

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

  158. 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. 

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

  160. 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.

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

  162. 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. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 116, 2016: 24-41.

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

  164. Maoguo Gong, Yu Li, Licheng Jiao, Meng Jia, Linzhi Su. SAR Change Detection based on Intensity and Texture Changes. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 93, 2014: 123-135.

  165. Jialu Liu, Maoguo Gong, Yuan Gao, Yiheng Lu, Hao Li. Bidirectional Interaction of CNN and Transformer for Image Inpainting. Knowledge-Based Systems, Vol. 299, 2024: 112046.

  166. Jianzhao Li, Maoguo Gong, Jinxin Wei, Yourun Zhang, Yue Zhao, Shanfeng Wang, Xiangming Jiang. Evolutionary Multitasking Cooperative Transfer for Multiobjective Hyperspectral Sparse Unmixing. Knowledge-Based Systems, Vol. 285, 2024: 111306.

  167. Yourun Zhang, Maoguo Gong, Jianzhao Li, Kaiyuan Feng, Mingyang Zhang. Autonomous Perception and Adaptive Standardization for Few-Shot Learning. Knowledge-Based Systems, Vol. 277, 2023: 110746.

  168. Ke Pan, Maoguo Gong, Yuan Gao. Privacy-Enhanced Generative Adversarial Network with Adaptive Noise Allocation. Knowledge-Based Systems, Vol. 272, 2023: 110576.

  169. Maoguo Gong, Tongfei Liu, Mingyang Zhang, Qingfu Zhang, Di Lu, Hanhong Zheng, Fenlong Jiang. Context–Content Collaborative Network for Building Extraction from High-Resolution Imagery. Knowledge-Based Systems, Vol. 263, 2023: 110283.

  170. Hui Zhou, Maoguo Gong, Shanfeng Wang, Yuan Gao, Zhongying Zhao. SMGCL: Semi-supervised Multi-view Graph Contrastive Learning. Knowledge-Based Systems, Vol. 260, 2023: 110120.

  171. Wenfeng Liu, Maoguo Gong, Zedong Tang. ETINE: Enhanced Textual Information Network Embedding. Knowledge-Based Systems, Vol. 220, 2021: 106917.

  172. Ke Pan, Maoguo Gong, Kaiyuan Feng, Kun Wang. Differentially Private Regression Analysis with Dynamic Privacy Allocation. Knowledge-Based Systems, Vol. 217, 2021: 106795.

  173. Zhongying Zhao, Xuejian Zhang, Hui Zhou, Chao Li, Maoguo Gong, Yongqing Wang. HetNERec: Heterogeneous Network Embedding Based Recommendation. Knowledge-Based Systems, Vol. 204, 2020: 106218.

  174. Zhihao Huang, Xiaoxiong Zhong, Qiang Wang, Maoguo Gong, Xiaoke Ma. Detecting Community in Attributed Networks by Dynamically Exploring Node Attributes and Topological Structure. Knowledge-Based Systems, Vol. 196, 2020: 105760.

  175. 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.

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

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

  178. 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.

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

  180. 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.

  181. 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.

  182. Wenfeng Liu, Maoguo Gong, Zedong Tang, A. K. Qin, Kai Sheng, Mingliang Xu. Locality Preserving Dense Graph Convolutional Networks with Graph Context-aware Node Representations. Neural Networks, Vol. 143, 2021: 108-120.

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

  184. 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.

  185. 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.

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

  187. 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.

  188. 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.

  189. Shanfeng Wang, Hao Tao, Jianzhao Li, Xinyuan Ji, Yuan Gao, Maoguo Gong. Towards Fair and Personalized Federated Recommendation. Pattern Recognition, Vol. 149, 2024: 110234.

  190. Mingyang Zhang, Zhaoyang Wang, Xiangyu Wang, Maoguo Gong, Yue Wu, Hao Li. Features Kept Generative Adversarial Network Data Augmentation Strategy for Hyperspectral Image Classification. Pattern Recognition, Vol. 142, 2023: 109701.

  191. Xiaolong Fan, Maoguo Gong, Yue Wu. Markov Clustering Regularized Multi-hop Graph Neural Network. Pattern Recognition, Vol. 139, 2023: 109518.

  192. Mingyang Zhang, Hanhong Zheng, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang. Self-Structured Pyramid Network with Parallel Spatial-Channel Attention for Change Detection in VHR Remote Sensed Imagery. Pattern Recognition, Vol. 138, 2023: 109354.

  193. Hanhong Zheng, Maoguo Gong, Tongfei Liu, Fenlong Jiang, Tao Zhan, Di Lu, Mingyang Zhang. HFA-Net: High Frequency Attention Siamese Network for Building Change Detection in VHR Remote Sensing Images. Pattern Recognition, Vol. 129, 2022: 108717.

  194. Yu Xie, Bin Yu, Shengze Lv, Chen Zhang, Guodong Wang, Maoguo Gong. A Survey on Heterogeneous Network Representation Learning. Pattern Recognition, Vol. 116, 2021: 107936.

  195. Chao Han, Deyun Zhou, Yu Xie, Maoguo Gong, Yu Lei, Jiao Shi. Collaborative Representation with Curriculum Classifier Boosting for Unsupervised Domain Adaptation. Pattern Recognition, Vol. 113, 2021: 107802.

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

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

[go top]

Selected Conference Papers

  1. Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma. Inlier Confidence Calibration for Point Cloud Registration. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle WA, USA, June 17-21, 2024, pages: 5312-5321.

  2. Zhaoyang Wang, Dongyang Li, Mingyang Zhang, Hao Luo, Maoguo Gong. Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network. The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20–27, 2024, pages: 5794-5804.

  3. Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu. Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20–27, 2024, pages: 11919-11926.

  4. Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin. M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20–27, 2024, pages: 3630-3638.

  5. Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu. Entropy Induced Pruning Framework for Convolutional Neural Networks. The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20–27, 2024, pages: 3918-3926.

  6. Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu. Exploring Dual Representations in Large-Scale Point Clouds: A Simple Weakly Supervised Semantic Segmentation Framework. The 31st ACM International Conference on Multimedia (ACM MM2023), Melbourne, VIC, Australia, October 28 - November 1, 2024 pages: 2371-2380.

  7. Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang. SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Online, June 19-25, 2021, pages: 13479-13487.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. 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.  

  31. 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.

  32. 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.

  33. 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.

  34. 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.

  35. 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.  

  36. 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.

  37. 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.
    　

    38.

[go top]