Ying, Chengyang

14 publications

IJCAI 2025 Self-Consistent Model-Based Adaptation for Visual Reinforcement Learning Xinning Zhou, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

ICML 2024 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

ICML 2024 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

NeurIPS 2024 PEAC: Unsupervised Pre-Training for Cross-Embodiment Reinforcement Learning Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu

ICLR 2023 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

ICML 2023 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

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

ICLR 2023 Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu

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

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

ICML 2022 GSmooth: Certified Robustness Against Semantic Transformations via Generalized Randomized Smoothing Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu

IJCAI 2022 Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu

ICMLW 2021 Strategically-Timed State-Observation Attacks on Deep Reinforcement Learning Agents You Qiaoben, Xinning Zhou, Chengyang Ying, Jun Zhu

ICMLW 2021 Towards Safe Reinforcement Learning via Constraining Conditional Value at Risk Chengyang Ying, Xinning Zhou, Dong Yan, Jun Zhu