A Unified Approach to Interpreting and Boosting Adversarial Transferability. - Xin Wang 108; Jie Ren 018; Shuyun Lin; Xiangming Zhu 002; Yisen Wang 001; Quanshi Zhang (ICLR, 2021)

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. - Xiaoyu Chen; Xiangming Zhu 002; Yufeng Zheng; Pushi Zhang; Li Zhao 007; Wenxue Cheng; Peng Cheng 005; Yongqiang Xiong; Tao Qin 001; Jianyu Chen; Tie-Yan Liu (NeurIPS, 2022)

Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models. - Minting Pan; Xiangming Zhu 002; Yunbo Wang; Xiaokang Yang 001 (NeurIPS, 2022)

Isolating and Leveraging Controllable and Noncontrollable Visual Dynamics in World Models. - Minting Pan; Xiangming Zhu 002; Yunbo Wang; Xiaokang Yang 001 (CoRR, 2022)

Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability. - Quanshi Zhang; Xin Wang 108; Jie Ren 018; Xu Cheng 005; Shuyun Lin; Yisen Wang 001; Xiangming Zhu 002 (CoRR, 2022)

Predictive Experience Replay for Continual Visual Control and Forecasting. - Wendong Zhang 002; Geng Chen; Xiangming Zhu 002; Siyu Gao; Yunbo Wang; Xiaokang Yang 001 (CoRR, 2023)

Model-Based Reinforcement Learning with Isolated Imaginations. - Minting Pan; Xiangming Zhu 002; Yunbo Wang; Xiaokang Yang 001 (CoRR, 2023)

Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video. - Xiangming Zhu 002; Huayu Deng; Haochen Yuan; Yunbo Wang; Xiaokang Yang 001 (ICLR, 2024)

Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation. - Huayu Deng; Xiangming Zhu 002; Yunbo Wang; Xiaokang Yang 001 (CoRR, 2024)

Model-Based Reinforcement Learning With Isolated Imaginations. - Minting Pan; Xiangming Zhu 002; Yitao Zheng; Yunbo Wang; Xiaokang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)