| 2025 | IJCAI | Self-Consistent Model-based Adaptation for Visual Reinforcement Learning. | Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu |
| 2024 | ICML | DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training. | Zhongkai Hao, Chang Su, Songming Liu, Julius Berner, Chengyang Ying, Hang Su, Anima Anandkumar, Jian Song, Jun Zhu |
| 2024 | ICML | Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. | Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu |
| 2023 | ICLR | Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. | Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu |
| 2023 | ICLR | Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. | Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng |
| 2023 | ICML | GNOT: A General Neural Operator Transformer for Operator Learning. | Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu |
| 2023 | ICML | NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. | Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu |
| 2023 | IJCAI | On the Reuse Bias in Off-Policy Reinforcement Learning. | Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu |
| 2022 | ICML | GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. | Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu |
| 2022 | IJCAI | Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk. | Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu |