| 2025 | AAAI | MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency. | Yue Wu, Zhipeng Wang, Yongzhe Yuan, Maoguo Gong, Hao Li, Mingyang Zhang, Wenping Ma, Qiguang Miao |
| 2025 | AAAI | AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors. | Hao Li, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang, Maoguo Gong |
| 2025 | AAAI | FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement. | Shanfeng Wang, Jianzhao Li, Zaitian Liu, Yourun Zhang, Maoguo Gong |
| 2025 | AAAI | Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration. | Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma |
| 2025 | AAAI | Partial Point Cloud Registration with Multi-view 2D Image Learning. | Yue Zhang, Yue Wu, Wenping Ma, Maoguo Gong, Hao Li, Biao Hou |
| 2025 | CIKM | DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation. | Shanyang Gao, Shanfeng Wang, Lanyu Yao, Jianzhao Li, Zhao Wang, Maoguo Gong, Ke Pan |
| 2025 | CVPR | Disentangled Pose and Appearance Guidance for Multi-Pose Generation. | Tengfei Xiao, Yue Wu, Yuelong Li, Can Qin, Maoguo Gong, Qiguang Miao, Wenping Ma |
| 2024 | AAAI | Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. | Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu |
| 2024 | AAAI | M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. | Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin |
| 2024 | AAAI | Entropy Induced Pruning Framework for Convolutional Neural Networks. | Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu |
| 2024 | AAAI | Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network. | Zhaoyang Wang, Dongyang Li, Mingyang Zhang, Hao Luo, Maoguo Gong |
| 2024 | CEC | Evolutionary Multitasking with Compatibility Graph for Point Cloud Registration. | Hangqi Ding, Jun Jiang, Yue Wu, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao |
| 2024 | CEC | One-Shot Surrogate for Evolutionary Multiobjective Neural Architecture Search. | Kuangda Lyu, Maoguo Gong, Hao Li, Yuan Gao, Yue Wu, Dan Feng, Jiao Shi, Yu Lei |
| 2024 | CEC | Evolutionary Multitasking Collaborative Neural Architecture Search for Scene Classification. | Shanfeng Wang, Zaitian Liu, Jianzhao Li, Maoguo Gong, Rui Yang |
| 2024 | CVPR | Inlier Confidence Calibration for Point Cloud Registration. | Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma |
| 2024 | GECCO | Evolutionary Multitasking with Two-level Knowledge Transfer for Multi-view Point Cloud Registration. | Hangqi Ding, Haoran Xu, Yue Wu, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao, Jiao Shi, Yu Lei |
| 2024 | ICML | PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques. | Yue Wu, Xidao Hu, Yongzhe Yuan, Xiaolong Fan, Maoguo Gong, Hao Li, Mingyang Zhang, Qiguang Miao, Wenping Ma |
| 2024 | IJCNN | Unsupervised Domain Adaptation for Cross-Scene Hyperspectral Image Classification Based on Decoupled Contrastive Learning. | Jiaxin Zhang, Mingyang Zhang, Maoguo Gong, Fenlong Jiang, Xiangming Jiang, Yu Zhou, Dan Feng |
| 2023 | ICASSP | Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction. | Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li |
| 2022 | IJCNN | Ternary Change Detection in SAR Images Based on Bi-hierarchical SDAE and Bayesian Optimization. | Zhuping Hu, Tianqi Gao, Hao Li, Maoguo Gong, Yue Wu, Jieyi Liu, Jiao Shi |
| 2022 | IJCNN | Evolutionary Multitasking CNN Architecture Search for Hyperspectral Image Classification. | Yiting Liu, Hao Li, Maoguo Gong, Jieyi Liu, Yue Wu, Mingyang Zhang, Jiao Shi |
| 2021 | CVPR | SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature. | Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang |
| 2021 | EMO | Change Detection in SAR Images Based on Evolutionary Multiobjective Optimization and Superpixel Segmentation. | Tianqi Gao, Wenyuan Qiao, Hao Li, Maoguo Gong, Gengchao Li, Jie Min |
| 2021 | IJCNN | Dynamic-graph-based Unsupervised Domain Adaptation. | Yongjie Du, Deyun Zhou, Jiao Shi, Yu Lei, Maoguo Gong |
| 2020 | CEC | Endmember Selection of Hyperspectral Images based on Evolutionary Multitask. | Yizhe Zhao, Hao Li, Yue Wu, Shanfeng Wang, Maoguo Gong |
| 2020 | IJCNN | Nucleus Neural Network: A Data-driven Self-organized Architecture. | Jia Liu, Wenhua Zhang, Maoguo Gong, Haibo He |
| 2020 | IJCNN | Gated Graph Pooling with Self-Loop for Graph Classification. | Xiaolong Fan, Maoguo Gong, Hao Li, Yue Wu, Shanfeng Wang |
| 2020 | IJCNN | Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation. | Chao Han, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi, Maoguo Gong |
| 2019 | CEC | Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering. | Yingying Duan, Jingjing Ma, Hao Li, Mingyang Zhang, Zedong Tang, Maoguo Gong |
| 2019 | CEC | Multipopulation Optimization for Multitask Optimization. | Zedong Tang, Maoguo Gong, Fenlong Jiang, Hao Li, Yue Wu |
| 2019 | CEC | A Multi-objective Particle Swarm Optimization for Neural Networks Pruning. | Tao Wu, Jiao Shi, Deyun Zhou, Yu Lei, Maoguo Gong |
| 2019 | CEC | Differential Evolutionary Multi-task Optimization. | Xiaolong Zheng, Yu Lei, A. K. Qin, Deyun Zhou, Jiao Shi, Maoguo Gong |
| 2019 | CIS | Distributed Multi-Objective Community Detection in Large-Scale and Complex Networks. | Shuang Liang, Hao Li, Maoguo Gong, Yue Wu, Yun Zhu |
| 2019 | ICDM | A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images. | Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao |
| 2018 | AAAI | Efficient Scene Labeling via Sparse Annotations. | Can Qin, Maoguo Gong, Yue Wu, Dayong Tian, Puzhao Zhang |
| 2018 | GECCO | Multiobjective sparse unmixing approach with noise removal. | Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang |
| 2018 | GECCO | Decomposition-based multiobjective particle swarm optimization for change detection in SAR images. | Tao Zhan, Zedong Tang, Maoguo Gong, Xiangming Jiang, Jiao Shi |
| 2018 | IJCAI | Feature Hashing for Network Representation Learning. | Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu |
| 2017 | AAAI | Neuron Learning Machine for Representation Learning. | Jia Liu, Maoguo Gong, Qiguang Miao |
| 2017 | ASPLOS | Distributed SAR Image Change Detection with OpenCL-Enabled Spark. | Huming Zhu, Jianing Kou, Linyan Qiu, Yuqi Guo, Mingwei Niu, Maoguo Gong, Licheng Jiao |
| 2017 | CEC | Differential evolution algorithm with learning selection strategy for SAR image change detection. | Feng Chen, Jiao Shi, Yunhong Ma, Yu Lei, Maoguo Gong |
| 2017 | CEC | Fuzzy multi-objective sparse feature learning. | Na Li, Yu Lei, Jiao Shi, Maoguo Gong |
| 2017 | CEC | Multi-objective endmember extraction for hyperspectral images. | Hao Li, Jingjing Ma, Jia Liu, Maoguo Gong, Mingyang Zhang |
| 2017 | CEC | An improved multiobjective evolutionary approach for community detection in multilayer networks. | Wenfeng Liu, Shanfeng Wang, Maoguo Gong, Mingyang Zhang |
| 2017 | CEC | Evolutionary multi-task learning for modular extremal learning machine. | Zedong Tang, Maoguo Gong, Mingyang Zhang |
| 2017 | CEC | Discrete particle swarm optimization based influence maximization in complex networks. | Qixiang Wang, Maoguo Gong, Chao Song, Shanfeng Wang |
| 2017 | CEC | Memetic algorithm based feature selection for hyperspectral images classification. | Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu |
| 2017 | CIS | Local Probabilistic Matrix Factorization for Personal Recommendation. | Wenping Ma, Yue Wu, Maoguo Gong, Can Qin, Shanfeng Wang |
| 2017 | CIS | A Multi-objective Framework for Location Recommendation Based on User Preference. | Shanfeng Wang, Maoguo Gong, Can Qin, Junwei Yang |
| 2017 | IJCAI | Self-paced Convolutional Neural Networks. | Hao Li, Maoguo Gong |
| 2017 | IJCAI | Modeling Hebb Learning Rule for Unsupervised Learning. | Jia Liu, Maoguo Gong, Qiguang Miao |
| 2017 | IJCAI | DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework. | Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu |
| 2016 | AAAI | Multi-Objective Self-Paced Learning. | Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao |
| 2016 | CEC | A memetic algorithm based on MOEA/D for near space communication system deployment optimization on tide user model. | Zhao Wang, Maoguo Gong, Yu Lei, Shanfeng Wang, Linzhi Su |
| 2016 | CEC | Enhancing evolutionary multifactorial optimization based on particle swarm optimization. | Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang |
| 2016 | CEC | A novel bi-objective model with particle swarm optimizer for structural balance analytics in social networks. | Jianan Yan, Shasha Ruan, Qing Cai, Jiao Shi, Zhao Wang, Maoguo Gong |
| 2016 | IGARSS | SAR image change detection based on Spark-FLICM algorithm. | Huming Zhu, Yuqi Guo, Mingwei Niu, Linyan Qiu, Licheng Jiao, Maoguo Gong |
| 2016 | IJCNN | Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis. | Linzhi Su, Jiao Shi, Puzhao Zhang, Zhao Wang, Maoguo Gong |
| 2015 | CEC | A particle swarm optimization approach for handling network social balance problem. | Qing Cai, Maoguo Gong, Lijia Ma, Shanfeng Wang, Licheng Jiao, Haifeng Du |
| 2015 | CEC | Deep community detection based on memetic algorithm. | Shanfeng Wang, Maoguo Gong, Bo Shen, Zhao Wang, Qing Cai, Licheng Jiao |
| 2014 | CEC | Deployment optimization of near space airships based on MOEA/D with local search. | Zhao Wang, Maoguo Gong, Qing Cai, Lijia Ma, Licheng Jiao |
| 2014 | CEC | Decomposition based multiobjective evolutionary algorithm for collaborative filtering recommender systems. | Shanfeng Wang, Maoguo Gong, Lijia Ma, Qing Cai, Licheng Jiao |
| 2014 | CEC | A multiobjective optimization method based on MOEA/D and fuzzy clustering for change detection in SAR images. | Qiao Wang, Hao Li, Maoguo Gong, Linzhi Su, Licheng Jiao |
| 2014 | CEC | A replacement strategy for balancing convergence and diversity in MOEA/D. | Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou |
| 2014 | IJCNN | Deep learning to classify difference image for image change detection. | Jiaojiao Zhao, Maoguo Gong, Jia Liu, Licheng Jiao |
| 2012 | CEC | An improved memetic algorithm for community detection in complex networks. | Maoguo Gong, Qing Cai, Yangyang Li, Jingjing Ma |
| 2011 | GECCO | A non-dominated neighbor immune algorithm for community detection in networks. | Maoguo Gong, Tian Hou, Bao Fu, Licheng Jiao |
| 2011 | GECCO | Interactive MOEA/D for multi-objective decision making. | Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang |
| 2011 | GECCO | Spatio-temporal data evolutionary clustering based on MOEA/D. | Jingjing Ma, Yanhui Wang, Maoguo Gong, Licheng Jiao, Qingfu Zhang |
| 2010 | CEC | Optimizing detector distribution in V-detector negative selection using a constrained multiobjective immune algorithm. | Fang Liu, Maoguo Gong, Jingjing Ma, Licheng Jiao, Wei Zhang |
| 2010 | CEC | Unsupervised evolutionary clustering algorithm for mixed type data. | Zhi Zheng, Maoguo Gong, Jingjing Ma, Licheng Jiao, Qiaodi Wu |
| 2010 | MMM | New Optical Flow Approach for Motion Segmentation Based on Gamma Distribution. | Cheolkon Jung, Licheng Jiao, Maoguo Gong |
| 2009 | CEC | Hybrid Immune Algorithm with intelligent recombination. | Maoguo Gong, Licheng Jiao, Wenping Ma, Ronghua Shang |
| 2009 | CEC | Hybrid multiobjective estimation of distribution algorithm by local linear embedding and an immune inspired algorithm. | Dongdong Yang, Licheng Jiao, Maoguo Gong, Hongxiao Feng |
| 2009 | GECCO | Orthogonal immune algorithm with diversity-based selection for numerical optimization. | Maoguo Gong, Licheng Jiao, Wenping Ma |
| 2009 | GECCO | Large-scale optimization using immune algorithm. | Maoguo Gong, Licheng Jiao, Wenping Ma |
| 2009 | GECCO | Quantum-inspired evolutionary clustering algorithm based on manifold distance. | Yangyang Li, Hongzhu Shi, Maoguo Gong, Ronghua Shang |
| 2008 | CEC | Improved Clonal Selection Algorithm based on Lamarckian local search technique. | Jie Yang, Maoguo Gong, Licheng Jiao, Lining Zhang |
| 2008 | CEC | Improved Clonal Selection Algorithm based on Baldwinian learning. | Lining Zhang, Maoguo Gong, Licheng Jiao, Jie Yang |
| 2008 | CEC | Optimal approximation of linear systems by an improved Clonal Selection Algorithm. | Lining Zhang, Maoguo Gong, Licheng Jiao, Jie Yang |
| 2007 | CEC | Solving multidimensional knapsack problems by an immune-inspired algorithm. | Maoguo Gong, Licheng Jiao, Wenping Ma, Shuiping Gou |
| 2007 | CEC | Solving multiobjective clustering using an immune-inspired algorithm. | Maoguo Gong, Lining Zhang, Licheng Jiao, Shuiping Gou |
| 2007 | PAKDD | Density-Sensitive Evolutionary Clustering. | Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo |
| 2006 | ICNC | Niching Clonal Selection Algorithm for Multimodal Function Optimization. | Lin Hao, Maoguo Gong, Yifei Sun, Jin Pan |
| 2006 | ICNC | Clonal Selection Algorithm with Search Space Expansion Scheme for Global Function Optimization. | Yifei Sun, Maoguo Gong, Lin Hao, Licheng Jiao |
| 2006 | PRICAI | Immune Clonal Selection Evolutionary Strategy for Constrained Optimization. | Wenping Ma, Licheng Jiao, Maoguo Gong, Ronghua Shang |
| 2005 | CIS | An Novel Artificial Immune Systems Multi-objective Optimization Algorithm for 0/1 Knapsack Problems. | Wenping Ma, Licheng Jiao, Maoguo Gong, Fang Liu |
| 2005 | CIS | Clonal Selection Algorithm for Dynamic Multiobjective Optimization. | Ronghua Shang, Licheng Jiao, Maoguo Gong, Bin Lu |
| 2005 | CIS | Clonal Selection Algorithm with Immunologic Regulation for Function Optimization. | Hang Yu, Maoguo Gong, Licheng Jiao, Bin Zhang |
| 2005 | EMO | Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization. | Licheng Jiao, Maoguo Gong, Ronghua Shang, Haifeng Du, Bin Lu |
| 2005 | GECCO | Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics. | Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Shang, Bin Lu |
| 2005 | GECCO | An artificial immune system algorithm for CDMA multiuser detection over multi-path channels. | Maoguo Gong, Ling Wang, Licheng Jiao, Haifeng Du |
| 2005 | ICNC | IFCPA: Immune Forgetting Clonal Programming Algorithm for Large Parameter Optimization Problems. | Maoguo Gong, Licheng Jiao, Haifeng Du, Bin Lu, Wentao Huang |
| 2005 | ICNC | Clone Selection Based Multicast Routing Algorithm. | Cuiqin Hou, Licheng Jiao, Maoguo Gong, Bin Lu |
| 2005 | ICNC | Stochastic Neuron Model with Dynamic Synapses and Evolution Equation of Its Density Function. | Wentao Huang, Licheng Jiao, Yuelei Xu, Maoguo Gong |
| 2005 | ICNC | IFMOA: Immune Forgetting Multiobjective Optimization Algorithm. | Bin Lu, Licheng Jiao, Haifeng Du, Maoguo Gong |
| 2005 | ISNN | Modeling Cortex Network: A Spatio-temporal Population Approach. | Wentao Huang, Licheng Jiao, Maoguo Gong, Chuang Guo |