- [KDD 2025] Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries (AMG project)
- Awesome AI4PDE: A curated list of resources focusing on the intersection of Artificial Intelligence and Partial Differential Equations (PDEs)
Research Experience
- Hybrid neural and numerical methods for PDE solving and discovering.
- Understanding and enhancing neural PDE solver from a mathematical and physical perspective.
- Graph Representation Learning in Non-Euclidean spaces.
Education
- Ph.D. Candidate, Data Science and Analytics Thrust, Information Hub, The Hong Kong University of Science and Technology (Guangzhou), Supervisors: Prof. Wei Wang, Prof. Zhilu Lai
Background
- Research Interests: AI for Science, particularly AI for PDEs