I'm a fourth-year Ph.D. candidate in Computer Science at Princeton University , extremely fortunate 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

Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets

with Rohith Kuditipudi, Xiang Wang, Holden Lee, Zhiyuan Li, Wei Hu, Sanjeev Arora, and Rong Ge
NeurIPS 2019

Calibration, Entropy Rates, and Memory in Language Models

with Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, and Cyril Zhang
In submission

Extreme Tensoring for Low-Memory Preconditioning

with Naman Agarwal, Xinyi Chen, Elad Hazan, and Cyril Zhang
In submission

Efficient Full-Matrix Regularization

with Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh and Cyril Zhang
ICML 2019

Spectral Filtering for General Linear Dynamical Systems

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

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)