This fall, I will start pursuing for a Ph.D. degree in CMU SCS Computer Science Department
. I have just received my Bachelor's degree in computer science and applied math (double degree) from Peking University
. My major research area is machine learning, including theory, algorithms and systems. I am deeply interested in designing algorithms that make machine learning faster and better, developing theories that guide the design of such algorithms, and creating systems that are efficient and user-friendly. Recently I am focusing on generalization theory, representation learning and generative models.
As an undergraduate I was advised by Liwei Wang
. I also visited UCLA in the summer of 2019 and worked with Cho-Jui Hsieh
. From Sept 2019 to Jun 2020 I worked as a full-time research intern in Microsoft Research Asia (MSRA
) machine learning group.
To prospective collaborators:
I am actively looking for research collaboration, especially in generalization theory and representation learning. Please send me an email about the specific topic in which you want to work with me. It would be great if you also include your ideas and intermediate results, so that we can discuss concrete issues. I am looking forward to hearing from you!