Chang Liu

Microsoft

  • Joined February 2020

Names

Chang Liu (Preferred)

Emails

****@mails.tsinghua.edu.cn (Confirmed)
,
****@126.com (Confirmed)
,
****@microsoft.com (Confirmed)
,
****@gmail.com (Confirmed)

Education & Career History

Researcher
Microsoft (microsoft.com)
2019Present
 
PhD student
Tsinghua University (tsinghua.edu.cn)
20142019
 
Visiting scholar
Duke University (duke.edu)
20172018
 
Undergrad student
Tsinghua University (tsinghua.edu.cn)
20102014
 

Advisors, Relations & Conflicts

Research manager
2019Present
 
Research manager
2019Present
 
Coauthor
2019Present
 
Coauthor
2019Present
 
Coauthor
2019Present
 
Coauthor
2019Present
 
Coauthor
2019Present
 
Coauthor
Guolin Ke
2019Present
 
Coauthor
2019Present
 
Coauthor
2019Present
 
Coauthor
2019Present
 
Coauthor
2019Present
 
Coauthor
20212021
 
Coauthor
20202021
 
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20202021
 
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20202021
 
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20202021
 
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20202021
 
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20202021
 
Coauthor
20202021
 
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20202021
 
Coauthor
20202021
 
Coauthor
20202021
 
Coauthor
20202021
 
Coauthor
20202021
 
Coauthor
20202021
 
Coauthor
20202021
 
Coauthor
20202021
 
Coauthor
20202021
 
Coauthor
20202021
 
Coauthor
20202021
 
Coauthor
20192021
 
Coauthor
20192021
 
Coauthor
20192021
 
Coauthor
20192021
 
Coauthor
20172021
 
Coauthor
20192020
 
PhD Advisor
20142020
 
PhD Advisor
20142020
 
Coauthor
20182019
 
Coauthor
Georgiy Bobashev
20182019
 
Coauthor
20172019
 
Visiting host
20172019
 
Coauthor
20172019
 
Coauthor
20172019
 
Coauthor
20172019
 
Coauthor
20172019
 
Coauthor
20172019
 
Coauthor
20172019
 
Coauthor
20172019
 
Coauthor
20172019
 
Coauthor
20172019
 
Coauthor
Ning Chen
20172019
 
Coauthor
Jingwei Zhuo
20142019
 
Coauthor
20142019
 
Coauthor
20142019
 

Expertise

AI for science: machine-learning force field, density functional theory, quantum Monte Carlo
2021Present
 
generative models, topic models, variational auto-encoders, generative adversarial nets
2016Present
 
Bayesian models, Bayesian neural networks
2016Present
 
topic models, generative models, Bayesian models, Bayesian inference, MCMC, variational inference
2014Present
 
Bayesian inference, variational inference, MCMC
2014Present
 
causality, structural equation models, structural causal models, identifiability
20192022