About me

I am currently a Ph.D. candidate in Computer Science and Engineering at The University of California, San Diego (UCSD). I am very fortunate to be advised by Mikhail Belkin. Prior to UCSD, I received my BS in Mathematics from Zhejiang University.

I am broadly interested in the mathematical foundations of machine learning. Recently, I have been focusing on understanding the optimization and generalization of neural networks. I am particularly interested in the behaviors of neural networks with large learning rates, where the Neural Tangent Kernel is no longer constant and feature learning may emerge.

Papers

Teaching

  • Teaching Assistant: DSC 206 - Algorithms for data science, UCSD. Winter 2024
  • Teaching Assistant: DSC 240 - Machine Learning, UCSD. Fall 2023
  • Teaching Assistant: DSC 291 - Topics in mathematics of deep learning, UCSD. Spring 2023
  • Teaching Assistant: DSC 212 - Probability and Statistics for Data Science, UCSD. Winter 2022
  • Teaching Assistant: DSC 291 - Topics in mathematics of deep learning, UCSD. Spring 2022
  • Teaching Assistant: DSC 140A - Probabilistic Modeling and ML, UCSD. Winter 2022

Academic service

Reviewer for NeurIPS, ICML, ICLR, UAI.

Miscellaneous

I watch soccer and tennis games in my downtime. My favorite soccer teams are Real Madrid and Manchester United, and my favorite tennis player is Novak Djokovic.