Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
Blog Post number 4
Published:
Blog Post number 3
Published:
Blog Post number 2
Published:
Blog Post number 1
Published:
portfolio
publications
Active Learning Based Sampling for High-Dimensional Nonlinear Partial Differential Equations
Wenhan Gao, Chunmei Wang.
Journal of Computational Physics (JCP), 2023
Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings
Wenhan Gao, Ruichen Xu, Hong Wang, Yi Liu.
Transactions on Machine Learning Research (TMLR), 2024
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
Ronast Subedi*, Lu Wei*, Wenhan Gao*, Shayok Chakraborty, Yi Liu.
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators
Wenhan Gao, Ruichen Xu, Yuefan Deng, Yi Liu.
The Thirteenth International Conference on Learning Representations (ICLR), 2025
Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power
Wenhan Gao, Jian Luo, Ruichen Xu, Yi Liu.
Transactions on Machine Learning Research (TMLR), 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.
The Forty-second International Conference on Machine Learning (ICML), 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‡.
Findings of the Association for Computational Linguistics: ACL, 2025
Feedback to Reasoning: LLM-Assisted Molecular Optimization with Domain Feedback and Historical Reasoning
Wenhan Gao, Xiran Fan, Chin-Chia Michael Yeh, Jiarui Sun, Yuzhong Chen, Menghai Pan, Mahashweta Das, Yi Liu.
Findings of the Association for Computational Linguistics: ACL, 2026
Scaling the Prior: Size-Consistent Geometric Diffusion for 3D Molecular Generation
Wenhan Gao, Jingxiang Qu, Yi Liu.
The Forty-third International Conference on Machine Learning (ICML), 2026
talks
teaching
Undergraduate Teaching Assistant
AMS 310, Survey of Probability and Statistics, 2021
Undergraduate Teaching Assistant
AMS 310, Survey of Probability and Statistics, 2021
Graduate Teaching Assistant
AMS 315, Data Analysis, 2022
Course Instructor/Tutor
HD Education, Graph Theory, 2022
Graduate Teaching Assistant
AMS 315, Data Analysis, 2023
Instructor
AMS 595, Fundamentals of Computing, 2023
Graduate Teaching Assistant
AMS 380, Data Mining, 2024
Instructor
AMS 326, Numerical Analysis, 2024