My research focuses on bridging the gap between theory and practice in machine learning by providing a deep understanding of model behaviors. Current research projects include:
- Trustworthy AI
- Learning Theory
I am currently a Ph.D. student advised by Prof. Jinhui Xu at the State University of New York at Buffalo(UB). Previously, I obtained my Bachelor's degree in Mathematics from China Agricultural University.
My research focuses on bridging the gap between theory and practice in machine learning by providing a deep understanding of model behaviors. Current research projects include:
Fair Single Index Model
Revision, TKDD 2024
Understanding Forgetting in Continual Learning with Linear Regression
ICML 2024
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
ICLR 2024