Sotabase

Career

· PhD Student, Tsinghua University2021–
· Student Research Assistant, USC Information Science Institution2021–

Publications (23)

GNOT: A General Neural Operator Transformer for Operator Learning
International Conference on Machine Learning · 2023
315
cited
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
International Conference on Learning Representations · 2022
160
cited
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
arXiv.org · 2022
155
cited
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
International Conference on Machine Learning · 2024
89
cited
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
International Joint Conference on Artificial Intelligence · 2022
61
cited
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
Neural Information Processing Systems · 2022
27
cited
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
International Conference on Machine Learning · 2022
26
cited
Understanding adversarial attacks on observations in deep reinforcement learning
Science China Information Sciences · 2021
25
cited
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
International Conference on Learning Representations · 2022
20
cited
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
International Conference on Machine Learning · 2023
18
cited
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition
arXiv.org · 2024
18
cited
Strategically-timed State-Observation Attacks on Deep Reinforcement Learning Agents
2021
14
cited
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
Pattern Recognition Letters · 2022
13
cited
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
Neural Information Processing Systems · 2024
13
cited
ManiBox: Enhancing Embodied Spatial Generalization via Scalable Simulation Data Generations
2024
9
cited
Reward Informed Dreamer for Task Generalization in Reinforcement Learning
arXiv.org · 2023
6
cited
On the Reuse Bias in Off-Policy Reinforcement Learning
International Joint Conference on Artificial Intelligence · 2022
5
cited
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
International Conference on Machine Learning · 2024
3
cited
Task Aware Dreamer for Task Generalization in Reinforcement Learning
2023
3
cited
Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025
2
cited
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Chengyang Ying | Researcher Profile | Sotabase | Sotabase