First author on a paper accepted by ICML 2025 on RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation;
First author on a paper accepted by TMLR 2025 on Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power;
First author on a paper accepted by ICLR 2025 on Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators;
Co-first author on a paper accepted by NeurIPS 2024 on Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism;
Received the NeurIPS Scholar Award in 2024;
Published a paper on active learning-based sampling for high-dimensional PDEs in the Journal of Computational Physics in February 2023;
Awarded the Excellence in Student Teaching Award from the AMS department at Stony Brook for Fall 2023.
Research Experience
Taught AMS 326 Numerical Analysis and graduate course AMS 595 Fundamentals of Computing at Stony Brook University;
Mentored undergraduate student Xiang Liu (freshman in CS/AMS) on a summer research project about neural operators for climate change through the SUNY SOAR program.
Education
Ph.D. in Operations Research; Stony Brook University, Aug. 2022 - TBD;
B.S. in Applied Mathematics & Statistics (3.97/4.0); Stony Brook University, Aug. 2019 - Dec. 2021;
Computer Science and Information Security (3.97/4.0); Queensborough Community College, Aug. 2018 - May 2019.
Background
Research interests include Geometric Deep Learning, Generative Models, Neural Operators, and AI for Science in general. Conducted research under the guidance of Dr. Chunmei Wang (Department of Mathematics, University of Florida) and Dr. Haizhao Yang (Department of Mathematics, University of Maryland) during undergraduate years.
Miscellany
Best way to contact is through email: wenhan(dot)gao(at symbol)stonybrook(dot)edu