Stebėti
Chengyang Ying
Chengyang Ying
Ph.D. student, Tsinghua university
Patvirtintas el. paštas mails.tsinghua.edu.cn - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
1752022
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
ICML 2023, 2023
1322023
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
H Chen, C Lu, C Ying, H Su, J Zhu
ICLR 2023, 2022
972022
Towards safe reinforcement learning via constraining conditional value-at-risk
C Ying, X Zhou, H Su, D Yan, N Chen, J Zhu
IJCAI 2022, 2022
402022
GSmooth: Certified robustness against semantic transformations via generalized randomized smoothing
Z Hao, C Ying, Y Dong, H Su, J Song, J Zhu
ICML 2022, 2022
262022
The robodrive challenge: Drive anytime anywhere in any condition
L Kong, S Xie, H Hu, Y Niu, WT Ooi, BR Cottereau, LX Ng, Y Ma, W Zhang, ...
arXiv preprint arXiv:2405.08816, 2024
222024
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
S Liu, Z Hao, C Ying, H Su, J Zhu, Z Cheng
NeurIPS 2022, 2022
212022
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
ICML 2024, 2024
202024
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 67 (5), 1-15, 2024
162024
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
ICLR 2023, 2022
142022
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
132021
Task Aware Dreamer for Task Generalization in Reinforcement Learning
C Ying, Z Hao, X Zhou, H Su, S Liu, D Yan, J Zhu
arXiv preprint arXiv:2303.05092, 2023
10*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
92023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
S Liu, Z Hao, C Ying, H Su, Z Cheng, J Zhu
ICML 2023, 2023
72023
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
C Ying, Z Hao, X Zhou, X Xu, H Su, X Zhang, J Zhu
NeurIPS 2024, 2024
62024
On the Reuse Bias in Off-Policy Reinforcement Learning
C Ying, Z Hao, X Zhou, H Su, D Yan, J Zhu
IJCAI 2023, 2022
32022
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
H Tan, S Liu, K Ma, C Ying, X Zhang, H Su, J Zhu
ICML 2024, 2024
12024
FORTRESS: Feature Optimization and Robustness Techniques for 3D Object Detection Systems
C Kang, X Zhou, C Ying, W Shang, X Wei, Y Dong, H Su
ECCV 2024 Workshop on Multimodal Perception and Comprehension of Corner …, 2024
12024
Exploratory Diffusion Policy for Unsupervised Reinforcement Learning
C Ying, H Chen, X Zhou, Z Hao, H Su, J Zhu
arXiv preprint arXiv:2502.07279, 2025
2025
ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation
H Tan, X Xu, C Ying, X Mao, S Liu, X Zhang, H Su, J Zhu
arXiv preprint arXiv:2411.01850, 2024
2024
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