OMEGA已发表SCI检索论文200余篇，其中50余篇发表在IEEE期刊上，被引用21000余次，获国家发明专利授权40余项。

部分著作见：Maoguo Gong's Google Scholar

代表性论文：

IEEE Transactions on Evolutionary Computation (IF: 16.497, 中科院一区)

• Zhao Wang, Maoguo Gong, Peng Li, Fei Xie, Mingyang Zhang. A Bi-Level Gene-Based Multiobjective Memetic Algorithm for Passive Localization System Deployment Optimization. IEEE Transactions on Evolutionary Computation, 2022, in press.

• Zedong Tang, Maoguo Gong, Yue Wu, Wenfeng Liu, Yu Xie. Regularized  Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace. IEEE Transactions on Evolutionary Computation, Vol. 25, No. 2, 2021: 262-276.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

IEEE Transactions on Neural Networks and Learning Systems (IF: 14.255, 中科院一区)

• Maoguo Gong, Jialu Liu, Hao Li, Yu Xie, Zedong Tang. Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. IEEE Transactions on Neural Networks and Learning Systems, Vol. 33, No. 1, 2022: 244-256.

• Maoguo Gong, Hui Zhou, AK 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, 2022, in press.

• 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, 2021, in press.

• 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. 32, No. 1, 2021: 420-434.

• Maoguo Gong, Jia Liu, AK Qin, Kun Zhao, Kay Chen Tan. Evolving Deep Neural Networks via Cooperative Coevolution with Backpropagation. IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, No. 3, 2020: 876-890.

• 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.

• 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.

• 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.

• 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.

IEEE Transactions on Fuzzy Systems (IF: 12.253, 中科院一区)

• 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.

• 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.

IEEE Computational Intelligence Magazine (IF: 9.809, 中科院一区)

• Maoguo Gong, Yu Xie, Ke Pan, Kaiyuan Feng, AK Qin. A Survey on Differentially Private Machine Learning [Review Article]. IEEE Computational Intelligence Magazine, Vol. 15, No. 2, 2020: 49-64.

• 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.

• 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.

IEEE Transactions on Cybernetics (IF: 19.118, 中科院一区)

• Yuan Gao, Maoguo Gong, Yu Xie, AK Qin, Ke Pan, Yew-Soon Ong. Multiparty Dual Learning Optimization. IEEE Transactions on Cybernetics, 2022, in press.

• Wenming Wu, Maoguo Gong, Xiaoke Ma. Clustering of Multilayer Networks Using Joint Learning Algorithm with Orthogonality and Specificity of Features. IEEE Transactions on Cybernetics, 2022, in press.

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

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

• 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.

• Mulin Chen, Maoguo Gong, Xuelong Li. Feature Weighted Non-Negative Matrix Factorization. IEEE Transactions on Cybernetics, 2021, in press.

• 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.

• 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.

IEEE Transactions on Image Processing (IF: 11.041, 中科院一区)

• 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.

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

• 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.

IEEE Transactions on Multimedia (IF: 8.182, 中科院一区)

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

IEEE Transactions on Knowledge and Data Engineering (IF: 9.235, 中科院二区)

• Maoguo Gong, Shunfei Ji, Yu Xie, Yuan Gao, AK Qin. Exploring Temporal Information for Dynamic Network Embedding. IEEE Transactions on Knowledge and Data Engineering, Vol. 34, No. 8, 2022: 3754-3764.

• Maoguo Gong, Wenfeng Liu, Yu Xie, Zedong Tang, Mingliang Xu. Heuristic 3D Interactive Walks for Multilayer Network Embedding. IEEE Transactions on Knowledge and Data Engineering, Vol. 34, No. 7, 2022: 3309-3321.

• Xiaolong Fan, Maoguo Gong, Yue Wu, AK Qin, Yu Xie. Propagation Enhanced Neural Message Passing for Graph Representation Learning. IEEE Transactions on Knowledge and Data Engineering, 2021, in press.

IEEE Transactions on Geoscience and Remote Sensing (IF: 8.125, 中科院一区)

• 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 Images. IEEE Transactions on Geoscience and Remote Sensing, 2023, Vol. 60, 1-13.

• 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, 2023, Vol. 60, 1-16.

• 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, 2022, Vol. 60, 1-16.

• Maoguo Gong, Fenlong Jiang, AK 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, 2022, Vol. 60, 1-14.

• 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, 2022, Vol. 60, 1-17.

• 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.

• 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.

• 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.

• 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: 2669-1688.

• 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, 2018: 2277-2289.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

IEEE Transactions on Circuits and Systems for Video Technology (IF: 5.859, 中科院一区)

• Jialu Liu, Maoguo Gong, Zedong Tang, AK Qin, Hao Li, Fenlong Jiang. Deep Image Inpainting with Enhanced Normalization and Contextual Attention. IEEE Transactions on Circuits and Systems for Video Technology, 2022, in press.

• Maoguo Gong, Kaiyuan Feng, Xia Fei, AK 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, 2022, in press.

• Sijia Zhang, Maoguo Gong, Yu Xie, AK 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.