Chengyang Ying

According to our database, Chengyang Ying authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, 2024

2023

Consistent attack: Universal adversarial perturbation on embodied vision navigation.

Chengyang Ying, You Qiaoben, Xinning Zhou, Hang Su, Wenbo Ding, Jianyong Ai

Pattern Recognit. Lett., April, 2023

Reward Informed Dreamer for Task Generalization in Reinforcement Learning.

Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Songming Liu, Jialian Li, Dong Yan, Jun Zhu

CoRR, 2023

On the Reuse Bias in Off-Policy Reinforcement Learning.

Chengyang Ying, Zhongkai Hao, Xinning Zhou, Hang Su, Dong Yan, Jun Zhu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.

Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications.

Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

CoRR, 2022

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation.

You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang

CoRR, 2022

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs.

Songming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Ze Cheng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk.

Chengyang Ying, Xinning Zhou, Hang Su, Dong Yan, Ning Chen, Jun Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing.

Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2022

2021

Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning.

You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang

CoRR, 2021