个人简介
EDUCATION
University of Illinois at Urbana-Champaign May 2016 – Aug. 2018
Ph.D. in Electrical and Computer Engineering Advisor: Yihong Wu
Dissertation: “Polynomial methods in statistical inference: theory and practice.”
University of Illinois at Urbana-Champaign Aug. 2013 – May 2016
M.S. in Electrical and Computer Engineering Advisor: Yihong Wu
Thesis: “Optimal entropy estimation on large alphabet: fundamental limits and fast algorithms”
Tsinghua University Sept. 2009 – June 2013
B.E. in Electronic Engineering Advisor: Zhisheng Niu
WORK EXPERIENCE
Tsinghua University From Mar. 2021
Assistant Professor, Center for Statistical Science
Princeton University Oct. 2018 – Oct. 2020
Postdoc Research Associate, Department of Electrical Engineering
AWARDS AND HONORS
Thomas M. Cover Dissertation Award, 2020
IEEE Information Theory Society
Shun Lien Chuang Memorial Award for Excellence in Graduate Education, 2018
University of Illinois at Urbana-Champaign
Jack Keil Wolf ISIT Student Paper Award, 2015
IEEE International Symposium on Information Theory (ISIT)
Star of Tomorrow Internship Award of Excellence, 2013
Microsoft Research Asia (MSRA)
Tsinghua-Tung OOCL Scholarship for Comprehensive Excellence, 2012
Tsinghua University, China
Tsinghua-Changhong Scholarship for Comprehensive Excellence, 2011
Tsinghua University, China
研究领域
At the intersection of statistics, machine learning, optimization, and information theory, my research focuses on machine learning problems from the perspective of high-dimensional statistics, and sublinear algorithms for property testing and estimation
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Monographs
Polynomial methods in statistical inference: theory and practice, with Yihong Wu, Foundations and Trends® in Communications and Information Theory, now publisher, 2020.
Selected publications
Optimal estimation of Gaussian mixtures via denoised method of moments. with Yihong Wu, Annals of Statistics, Vol. 48, No. 4, pp. 1981-2007, 2020. [code]
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective, with Lili Su, NeurIPS 2019.
Chebyshev polynomials, moment matching, and optimal estimation of the unseen, with Yihong Wu, Annals of Statistics, Vol. 47, No. 2, pp. 857-883, 2019. [code]
Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation, with Yihong Wu, IEEE Transactions on Information Theory, Vol. 62, Issue, 6, pp. 3702-3720, 2016. [code]
Optimal entropy estimation on large alphabets via best polynomial approximation, with Yihong Wu, ISIT 2015. Best Student Paper Award
京公网安备 11010802027423号