Difan Zou

Department of Computer Science

University of California, Los Angeles

Contact: knowzou+ at + ucla.edu

404 Westwood Plaza

Engineering VI

Los Angeles, CA 90095-1596

I am currently a PhD student at the Department of Computer Science, University of California, Los Angeles. My research interests lie in the theoretical understanding of machine learning and deep learning problems.

My advisor is Prof. Quanquan Gu since 2017. Previously I was working with Prof. Chen Gong and Prof. Zhengyuan Xu in optical wireless communication and networking center in USTC.

Education

  • B.S. University of Science and Technology of China (Applied Physics, School of Gifted Young) 2010-2014
  • M.S. University of Science and Technology of China (Electrical Engineering and Information Science) 2014-2017
  • Ph.D. University of Virginia (System and Information Engineering) 2017-2018
  • Ph.D. University of California, Los Angeles (Computer Science) 2018-present

Publication

(* indicates equal contribution )

Preprint

Yaodong Yu*, Difan Zou*, Quanquan Gu

Bao Wang*, Difan Zou*, Quanquan Gu, Stanley Osher

Zixiang Chen*, Yuan Cao*, Difan Zou* and Quanquan Gu,

Conference & Journal

Difan Zou, Philip M. Long and Quanquan Gu

Yisen Wang*, Difan Zou*, Jinfeng Yi, James Bailey, Xingjun Ma and Quanquan Gu

Difan Zou*, Yuan Cao*, Dongruo Zhou, Quanquan Gu

Difan Zou, Quanquan Gu

Difan Zou*, Ziniu Hu*, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu

Difan Zou, Pan Xu, Quanquan Gu

Difan Zou, Pan Xu, Quanquan Gu

  • Global convergence of Langevin dynamics based algorithms for nonconvex optimization (Neural Information Processing System (NeurIPS'18))

Pan Xu*, Jinghui Chen*, Difan Zou, Quanquan Gu

  • Subsampled stochastic variance-reduced gradient Langevin dynamics ( International Conference on Uncertainty in Artificial Intelligence (UAI'18))

Difan Zou*, Pan Xu*, Quanquan Gu

  • Stochastic Variance-Reduced Hamilton Monte Carlo Methods (International Conference on Machine Learning (ICML'18))

Difan Zou*, Pan Xu*, Quanquan Gu