Chengyang Ying

Orcid: 0000-0003-3334-2915

According to our database1, Chengyang Ying authored at least 17 papers between 2022 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning.
CoRR, 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.
CoRR, 2024

Understanding adversarial attacks on observations in deep reinforcement learning.
Sci. China Inf. Sci., 2024

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Consistent attack: Universal adversarial perturbation on embodied vision navigation.
Pattern Recognit. Lett., April, 2023

Reward Informed Dreamer for Task Generalization in Reinforcement Learning.
CoRR, 2023

On the Reuse Bias in Off-Policy Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data.
Proceedings of the International Conference on Machine Learning, 2023

GNOT: A General Neural Operator Transformer for Operator Learning.
Proceedings of the International Conference on Machine Learning, 2023

Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications.
CoRR, 2022

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation.
CoRR, 2022

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing.
Proceedings of the International Conference on Machine Learning, 2022


  Loading...