Wenhan Gao

11 papers A* 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors.
KDD (1)
Xufeng Liu, Dongsheng Luo, Wenhan Gao, Yi Liu
2025 J jnl
Can Data-Driven Dynamics Reveal Hidden Physics? There Is A Need for Interpretable Neural Operators.
CoRR
Wenhan Gao, Jian Luo, Fang Wan, Ruichen Xu, Xiang Liu, Haipeng Xing, Yi Liu
2025 A* conf
Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators.
ICLR
Wenhan Gao, Ruichen Xu, Yuefan Deng, Yi Liu
2025 J jnl
Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power.
Trans. Mach. Learn. Res.
Wenhan Gao, Jian Luo, Ruichen Xu, Yi Liu
2025 A* conf
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.
ICML
Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2025 J jnl
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.
CoRR
Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2025 — conf
RL-Guider: Leveraging Historical Decisions and Feedback for Drug Editing with Large Language Models.
ACL (Findings)
Xufeng Liu, Yixuan Ding, Jingxiang Qu, Yichi Zhang, Wenhan Gao, Yi Liu
2024 J jnl
Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings.
Trans. Mach. Learn. Res.
Wenhan Gao, Ruichen Xu, Hong Wang, Yi Liu
2024 A* conf
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism.
NeurIPS
Ronast Subedi, Lu Wei, Wenhan Gao, Shayok Chakraborty, Yi Liu
2023 J jnl
Active learning based sampling for high-dimensional nonlinear partial differential equations.
J. Comput. Phys.
Wenhan Gao, Chunmei Wang
2021 J jnl
Active Learning Based Sampling for High-Dimensional Nonlinear Partial Differential Equations.
CoRR
Wenhan Gao, Chunmei Wang