I am a third-year PhD student of CMU SCS Computer Science Department
, co-advised by Zico Kolter
and Pradeep Ravikumar
. My research area is machine learning, and I am deeply interested in bridging the gap between machine learning theory and applications. Recently I am mainly focusing on the distribution shift problem, where the data distribution on which the model is trained is different from the testing data distribution, a very common scenario in practice. Related topics include domain adaptaion, continual learning, algorithmic fairness, semi-supervised learning and self-supervised learning. In addition, I am also interested in the general optimization and generalization theory.
I received my Bachelor's degree in computer science and applied math (double degree) from Peking University
. As an undergraduate I was advised by Liwei Wang
. I also visited UCLA in the summer of 2019 and worked with Cho-Jui Hsieh
. In the summer of 2022, I worked at Amazon Alexa AI at Sunnyvale as an applied scientist intern. From Sept 2019 to Jun 2020 I worked as a full-time research intern in Microsoft Research Asia (MSRA
) machine learning group at Beijing.