GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. - Zhongkai Hao; Chengyang Ying; Yinpeng Dong; Hang Su 006; Jian Song; Jun Zhu 001 (ICML, 2022)

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. - Chengyang Ying; Xinning Zhou; Hang Su 006; Dong Yan; Ning Chen 002; Jun Zhu 001 (IJCAI, 2022)

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. - Songming Liu; Zhongkai Hao; Chengyang Ying; Hang Su 006; Jun Zhu 001; Ze Cheng (NeurIPS, 2022)

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation. - You Qiaoben; Chengyang Ying; Xinning Zhou; Hang Su 006; Jun Zhu 001; Bo Zhang 010 (CoRR, 2022)

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications. - Zhongkai Hao; Songming Liu; Yichi Zhang; Chengyang Ying; Yao Feng 002; Hang Su 006; Jun Zhu 001 (CoRR, 2022)

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. - Huayu Chen; Cheng Lu 011; Chengyang Ying; Hang Su 006; Jun Zhu 001 (ICLR, 2023)

Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. - Zhongkai Hao; Chengyang Ying; Hang Su 006; Jun Zhu 001; Jian Song; Ze Cheng (ICLR, 2023)

GNOT: A General Neural Operator Transformer for Operator Learning. - Zhongkai Hao; Zhengyi Wang; Hang Su 006; Chengyang Ying; Yinpeng Dong; Songming Liu; Ze Cheng; Jian Song; Jun Zhu 001 (ICML, 2023)

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. - Songming Liu; Zhongkai Hao; Chengyang Ying; Hang Su 006; Ze Cheng; Jun Zhu 001 (ICML, 2023)

On the Reuse Bias in Off-Policy Reinforcement Learning. - Chengyang Ying; Zhongkai Hao; Xinning Zhou; Hang Su 006; Dong Yan; Jun Zhu 001 (IJCAI, 2023)

Reward Informed Dreamer for Task Generalization in Reinforcement Learning. - Chengyang Ying; Zhongkai Hao; Xinning Zhou; Hang Su 006; Songming Liu; Jialian Li; Dong Yan; Jun Zhu 001 (CoRR, 2023)

Consistent attack: Universal adversarial perturbation on embodied vision navigation. - Chengyang Ying; You Qiaoben; Xinning Zhou; Hang Su 006; Wenbo Ding 004; Jianyong Ai (Pattern Recognit. Lett., 2023)

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. - Zhongkai Hao; Chang Su; Songming Liu; Julius Berner; Chengyang Ying; Hang Su 006; Anima Anandkumar; Jian Song; Jun Zhu 001 (ICML, 2024)

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. - Hengkai Tan; Songming Liu; Kai Ma; Chengyang Ying; Xingxing Zhang 001; Hang Su 006; Jun Zhu 001 (ICML, 2024)

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. - Chengyang Ying; Zhongkai Hao; Xinning Zhou; Xuezhou Xu; Hang Su 006; Xingxing Zhang 001; Jun Zhu 001 (NeurIPS, 2024)

Understanding adversarial attacks on observations in deep reinforcement learning. - You Qiaoben; Chengyang Ying; Xinning Zhou; Hang Su 006; Jun Zhu 001; Bo Zhang 010 (Sci. China Inf. Sci., 2024)

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. - Lingdong Kong; Shaoyuan Xie; Hanjiang Hu; Yaru Niu; Wei Tsang Ooi; Benoit R. Cottereau; Lai Xing Ng; Yuexin Ma; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; et al. (CoRR, 2024)

ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation. - Hengkai Tan; Xuezhou Xu; Chengyang Ying; Xinyi Mao; Songming Liu; Xingxing Zhang 001; Hang Su 006; Jun Zhu 001 (CoRR, 2024)

Exploratory Diffusion Policy for Unsupervised Reinforcement Learning. - Chengyang Ying; Huayu Chen; Xinning Zhou; Zhongkai Hao; Hang Su 006; Jun Zhu 001 (CoRR, 2025)

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. - Xinning Zhou; Chengyang Ying; Yao Feng 002; Hang Su 006; Jun Zhu 001 (CoRR, 2025)

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments. - Xiao Yang; Lingxuan Wu; Lizhong Wang; Chengyang Ying; Hang Su; Jun Zhu (CoRR, 2025)