Wenhan Gao

According to our database, Wenhan Gao authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Can Data-Driven Dynamics Reveal Hidden Physics? There Is A Need for Interpretable Neural Operators.

Wenhan Gao, Jian Luo, Fang Wan, Ruichen Xu, Xiang Liu, Haipeng Xing, Yi Liu

CoRR, October, 2025

Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power.

Wenhan Gao, Jian Luo, Ruichen Xu, Yi Liu

Trans. Mach. Learn. Res., 2025

3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors.

Xufeng Liu, Dongsheng Luo, Wenhan Gao, Yi Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.

Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators.

Wenhan Gao, Ruichen Xu, Yuefan Deng, Yi Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RL-Guider: Leveraging Historical Decisions and Feedback for Drug Editing with Large Language Models.

Xufeng Liu, Yixuan Ding, Jingxiang Qu, Yichi Zhang, Wenhan Gao, Yi Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings.

Wenhan Gao, Ruichen Xu, Hong Wang, Yi Liu

Trans. Mach. Learn. Res., 2024

Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism.

Ronast Subedi, Lu Wei, Wenhan Gao, Shayok Chakraborty, Yi Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Active learning based sampling for high-dimensional nonlinear partial differential equations.

Wenhan Gao, Chunmei Wang

J. Comput. Phys., February, 2023