Physics-informed machine learning: A survey on problems, methods and applications Z Hao, S Liu, Y Zhang, C Ying, Y Feng, H Su, J Zhu arXiv preprint arXiv:2211.08064, 2022 | 77 | 2022 |
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling H Chen, C Lu, C Ying, H Su, J Zhu International Conference on Learning Representations (ICLR 2023), 2022 | 42 | 2022 |
Gnot: A general neural operator transformer for operator learning Z Hao, Z Wang, H Su, C Ying, Y Dong, S Liu, Z Cheng, J Song, J Zhu International Conference on Machine Learning (ICML23), 2023 | 41 | 2023 |
Towards safe reinforcement learning via constraining conditional value-at-risk C Ying, X Zhou, H Su, D Yan, N Chen, J Zhu International Joint Conference on Artificial Intelligence (IJCAI 2022), 2022 | 20 | 2022 |
GSmooth: Certified robustness against semantic transformations via generalized randomized smoothing Z Hao, C Ying, Y Dong, H Su, J Song, J Zhu International Conference on Machine Learning (ICML 2022), 2022 | 18* | 2022 |
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs S Liu, Z Hao, C Ying, H Su, J Zhu, Z Cheng Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 11 | 2022 |
Strategically-timed state-observation attacks on deep reinforcement learning agents Y Qiaoben, X Zhou, C Ying, J Zhu ICML 2021 Workshop on Adversarial Machine Learning, 2021 | 11 | 2021 |
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning Y Qiaoben, C Ying, X Zhou, H Su, J Zhu, B Zhang SCIENCE CHINA Information Sciences (SCIS), 2023, 2021 | 10 | 2021 |
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients Z Hao, C Ying, H Su, J Zhu, J Song, Z Cheng International Conference on Learning Representations (ICLR 2023), 2022 | 8 | 2022 |
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data S Liu, Z Hao, C Ying, H Su, Z Cheng, J Zhu International Conference on Machine Learning (ICML23), 2023 | 3 | 2023 |
Consistent attack: Universal adversarial perturbation on embodied vision navigation C Ying, Y Qiaoben, X Zhou, H Su, W Ding, J Ai Pattern Recognition Letters 168, 57-63, 2023 | 3 | 2023 |
Reward informed dreamer for task generalization in reinforcement learning C Ying, Z Hao, X Zhou, H Su, S Liu, J Li, D Yan, J Zhu arXiv preprint arXiv:2303.05092, 2023 | 3 | 2023 |
On the Reuse Bias in Off-Policy Reinforcement Learning C Ying, Z Hao, X Zhou, H Su, D Yan, J Zhu International Joint Conference on Artificial Intelligence (IJCAI 2023), 2022 | 1 | 2022 |
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training Z Hao, C Su, S Liu, J Berner, C Ying, H Su, A Anandkumar, J Song, J Zhu arXiv preprint arXiv:2403.03542, 2024 | | 2024 |
Analysis of Alignment Phenomenon in Simple Teacher-student Networks with Finite Width H Zhu, C Ying, S Zuo | | 2020 |