I'm a third-year Ph.D. Student in Computer Science at Princeton University , fortunate enough to be advised by Prof. Sanjeev Arora.

My research interest is in Theoretical Machine Learning , with a focus on bridging the gap between theoretical rigor and unreasonably effective heuristics.

I obtained my Bachelor's degrees from University of Michigan, Ann Arbor and Shanghai Jiao Tong University.

Publication List


Spectral Filtering for General Linear Dynamical Systems

with Elad Hazan, Holden Lee, Karan Singh and Cyril Zhang
NIPS 2018 (Oral Presentation)

The Case for Full-Matrix Regularization

with Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh and Cyril Zhang
ICML 2018 Workshop on Modern Trends in Non-Convex Optimization

Stronger Generalization Bound for Deep Nets via a Compression Approach

with Sanjeev Arora, Rong Ge and Behnam Neyshabur
ICML 2018

Towards Provable Control for Unknown Linear Dynamical Systems

with Sanjeev Arora, Elad Hazan, Holden Lee, Karan Singh and Cyril Zhang
ICLR 2018 Workshop

Not-So-Random Features

with Brian Bullins and Cyril Zhang
ICLR 2018

Do GANs learn the distribution? Some Theory and Empirics

with Sanjeev Arora and Andrej Risteski
ICLR 2018

Generalization and Equilibrium in GANs

with Sanjeev Arora, Rong Ge, Yingyu Liang and Tengyu Ma
ICML 2017

Towards Understanding Invertibility of Convolutional Neural Networks

Anna Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee
IJCAI 2017

Convolutional Neural Networks with Low-Rank Regularization

Tai Cheng, Xiao Tong, Yi Zhang, Xiaogang Wang, Weinan E
ICLR 2016

Deep Visual Analogy-Making

Scott Reed, Yi Zhang, Yuting Zhang, Honglak Lee
NIPS 2015 (Oral Presentation)