Chang Liu  


Microsoft Research Asia
No. 5 Danling Street
Beijing, China. 100080.

Email: liuchangsmail at gmail dot com
chang-li14 at mails dot tsinghua dot edu dot cn


[Curriculum Vitae]

I am currently a researcher at Microsoft Research Asia, Machine Learning Group, headed by Tao Qin starting from 2019. Before that, I received my Ph.D. degree in 2019 from the TSAIL Group at the Department of Computer Science and Technology of Tsinghua University, supervised by Prof. Jun Zhu. I received my B.Sc. degree in 2014 from the Department of Physics of Tsinghua University. I also visited Prof. Lawrence Carin's group at Duke University from Oct. 2017 to Oct. 2018.

My research interests are primarily on statistical machine learning, especially general Bayesian inference methods (e.g., variational inference and MCMC), their collaboration with manifold structures, and their applications in Bayesian deep learning and large scale learning tasks.


[Google Scholar] [GitHub]



[Generative Models]
[Bayesian Learning: Basics and Advances]
[Gradient Flows]
[Statistical-Mechanics-Related Concepts in Machine Learning]
[Dynamics-Based MCMC Methods]
[Hamiltonian Monte Carlo on Riemannian Manifolds]
[Introduction to MCMC and Hamiltonian Monte Carlo]


Service & Teaching

Reviewer: NeurIPS, ICML, UAI, AAAI.
Teaching Assistant: Duke-Tsinghua Machine Learning Summer School, Aug. 2016.
Teaching Assistant: Advanced Calculus (undergraduate course), instructed by Prof. Yinghua Ai, Sep. 2014 to Jan. 2015.

Honors & Awards

Outstanding Ph.D. Graduate, Department of Computer Science and Technology, 2019.
Outstanding Doctoral Dissertation, Tsinghua University, 2019.
Ronghua Zhang Scholarship, 2013.
Sumitomo Corporation Scholarship, 2012.
Tsinghua Asia-Pacific President Federation Scholarship, 2011.


Last updated on Nov. 2019.