Ph.D. Students

I feel incredibly fortunate to work with the following four exceptionally talented Ph.D. students. Working with such a gifted group truly brings joy to the often demanding academic journey.

• Wenhan Gao, Ph.D. in Applied Mathematics, Stony Brook University, Fall 2023 - present
  B.S., Pure Mathematics; Applied Mathematics, Stony Brook University
  Research: Neural Operators, Equivariant Neural Networks
  First Author Publication: NeurIPS'24, TMLR'24, ICLR'25*2 (under review), CVPR'25 (under review)
  

• Xufeng Liu, Ph.D. in Computer Science, Stony Brook University, Spring 2024 - present
  M.S., Computer Science, Shanghai Jiao Tong University
  Research: 3D Graph Explanation, LLMs for Science
  First Author Publication: KDD'25, ICLR'25 (under review), ACL'25 (in submission)
  

• Jingxiang Qu, Ph.D. in Computer Science, Stony Brook University, Fall 2024 - present
  M.S., Computer Science, Wuhan University of Technology
  Research: Equivariant Neural Networks, Multimodal Learning
  

• Fang Wan, Ph.D. in Computer Science, Stony Brook University, Fall 2024 - present
  B.S., Computer Science, University of Science and Technology of China
  Research: Generative Models
  

Master Students

• Adding...

Undergraduate Students

• Xiang Liu, B.S. in Computer Science, Stony Brook University, Spring 2024 - present
  Research: Neural Operators, Climate Modeling
  

• Yichi Zhang, B.S. in Applied Mathematics, Stony Brook University, Fall 2024 - present
  Research: Equivariant Neural Networks, Climate Modeling