Gong, Maoguo

21 publications

AAAI 2025 AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors Hao Li, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang, Maoguo Gong

CVPR 2025 Disentangled Pose and Appearance Guidance for Multi-Pose Generation Tengfei Xiao, Yue Wu, Yuelong Li, Can Qin, Maoguo Gong, Qiguang Miao, Wenping Ma

AAAI 2025 FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement Shanfeng Wang, Jianzhao Li, Zaitian Liu, Yourun Zhang, Maoguo Gong

AAAI 2025 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

AAAI 2025 Partial Point Cloud Registration with Multi-View 2D Image Learning Yue Zhang, Yue Wu, Wenping Ma, Maoguo Gong, Hao Li, Biao Hou

NeurIPS 2025 PointTruss: K-Truss for Point Cloud Registration Yue Wu, Jun Jiang, Yongzhe Yuan, Maoguo Gong, Qiguang Miao, Hao Li, Mingyang Zhang, Wenping Ma

AAAI 2025 Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma

AAAI 2024 Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-Resolution Network Zhaoyang Wang, Dongyang Li, Mingyang Zhang, Hao Luo, Maoguo Gong

AAAI 2024 Entropy Induced Pruning Framework for Convolutional Neural Networks Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu

CVPR 2024 Inlier Confidence Calibration for Point Cloud Registration Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma

AAAI 2024 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

AAAI 2024 Neural Gaussian Similarity Modeling for Differential Graph Structure Learning Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu

ICML 2024 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

CVPR 2021 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

IJCAI 2018 Feature Hashing for Network Representation Learning Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu

IJCAI 2017 DRLnet: Deep Difference Representation Learning Network and an Unsupervised Optimization Framework Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu

IJCAI 2017 Modeling Hebb Learning Rule for Unsupervised Learning Jia Liu, Maoguo Gong, Qiguang Miao

AAAI 2017 Neuron Learning Machine for Representation Learning Jia Liu, Maoguo Gong, Qiguang Miao

IJCAI 2017 Self-Paced Convolutional Neural Networks Hao Li, Maoguo Gong

AAAI 2016 Multi-Objective Self-Paced Learning Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao

NeurIPS 2005 Response Analysis of Neuronal Population with Synaptic Depression Wentao Huang, Licheng Jiao, Shan Tan, Maoguo Gong