Jiang, Changjun

22 publications

NeurIPS 2025 Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool Jiangtong Li, Dongyi Liu, Kun Zhu, Dawei Cheng, Changjun Jiang

ICML 2025 CERTAIN: Context Uncertainty-Aware One-Shot Adaptation for Context-Based Offline Meta Reinforcement Learning Hongtu Zhou, Ruiling Yang, Yakun Zhu, Haoqi Zhao, Hai Zhang, Di Zhang, Junqiao Zhao, Chen Ye, Changjun Jiang

ICML 2025 Divide and Conquer: Exploring Language-Centric Tree Reasoning for Video Question-Answering Zhaohe Liao, Jiangtong Li, Siyu Sun, Qingyang Liu, Fengshun Xiao, Tianjiao Li, Qiang Zhang, Guang Chen, Li Niu, Changjun Jiang, Liqing Zhang

NeurIPS 2024 Focus on What Matters: Separated Models for Visual-Based RL Generalization Di Zhang, Bowen Lv, Hai Zhang, Feifan Yang, Junqiao Zhao, Hang Yu, Chang Huang, Hongtu Zhou, Chen Ye, Changjun Jiang

NeurIPS 2024 GeoNLF: Geometry Guided Pose-Free Neural LiDAR Fields Weiyi Xue, Zehan Zheng, Fan Lu, Haiyun Wei, Guang Chen, Changjun Jiang

ECCV 2024 HGL: Hierarchical Geometry Learning for Test-Time Adaptation in 3D Point Cloud Segmentation Tianpei Zou, Sanqing Qu, Zhijun Li, Alois C. Knoll, 何良华, Guang Chen, Changjun Jiang

CVPR 2024 LEAD: Learning Decomposition for Source-Free Universal Domain Adaptation Sanqing Qu, Tianpei Zou, Lianghua He, Florian Röhrbein, Alois Knoll, Guang Chen, Changjun Jiang

CVPR 2024 LiDAR4D: Dynamic Neural Fields for Novel Space-Time View LiDAR Synthesis Zehan Zheng, Fan Lu, Weiyi Xue, Guang Chen, Changjun Jiang

CVPR 2024 MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection Boyang Peng, Sanqing Qu, Yong Wu, Tianpei Zou, Lianghua He, Alois Knoll, Guang Chen, Changjun Jiang

CVPR 2024 POCE: Primal Policy Optimization with Conservative Estimation for Multi-Constraint Offline Reinforcement Learning Jiayi Guan, Li Shen, Ao Zhou, Lusong Li, Han Hu, Xiaodong He, Guang Chen, Changjun Jiang

AAAI 2024 Pre-Trained Online Contrastive Learning for Insurance Fraud Detection Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

NeurIPS 2024 RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-Based 3D Neural Modeling Tianhang Wang, Fan Lu, Zehan Zheng, Guang Chen, Changjun Jiang

AAAI 2023 Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans Through Graph-Based Deep Reinforcement Learning Dawei Cheng, Zhibin Niu, Jianfu Zhang, Yiyi Zhang, Changjun Jiang

IJCAI 2023 Fighting Against Organized Fraudsters Using Risk Diffusion-Based Parallel Graph Neural Network Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang

CVPR 2023 Modality-Agnostic Debiasing for Single Domain Generalization Sanqing Qu, Yingwei Pan, Guang Chen, Ting Yao, Changjun Jiang, Tao Mei

CVPR 2023 NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation Zehan Zheng, Danni Wu, Ruisi Lu, Fan Lu, Guang Chen, Changjun Jiang

IJCAI 2023 Preventing Attacks in Interbank Credit Rating with Selective-Aware Graph Neural Network Junyi Liu, Dawei Cheng, Changjun Jiang

ICCV 2023 TMA: Temporal Motion Aggregation for Event-Based Optical Flow Haotian Liu, Guang Chen, Sanqing Qu, Yanping Zhang, Zhijun Li, Alois Knoll, Changjun Jiang

ICCV 2023 UMC: A Unified Bandwidth-Efficient and Multi-Resolution Based Collaborative Perception Framework Tianhang Wang, Guang Chen, Kai Chen, Zhengfa Liu, Bo Zhang, Alois Knoll, Changjun Jiang

CVPR 2023 Upcycling Models Under Domain and Category Shift Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang

ICCV 2023 Urban Radiance Field Representation with Deformable Neural Mesh Primitives Fan Lu, Yan Xu, Guang Chen, Hongsheng Li, Kwan-Yee Lin, Changjun Jiang

NeurIPS 2023 VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, Ao Zhou, Zhijun Li, Changjun Jiang