Scholar

Cheng Li

Google Scholar ID: xpuozvQAAAAJ

National University of Singapore

Bayesian statisticsGaussian processScalable computationMachine learning

Citations & Impact

All-time

Citations

1,094

H-index

i10-index

Publications

Co-authors

list available

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Publications

20 items

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Academic Achievements

Serves as an Associate Editor for Bayesian Analysis and ACM Transactions on Probabilistic Machine Learning (TOPML).

Research Experience

Currently an Associate Professor in the Department of Statistics and Data Science, National University of Singapore; Was a postdoctoral associate at Duke University's Department of Statistical Science.

Education

Received B.S. in Statistics from School of Mathematical Sciences, Peking University in 2009; Ph.D. from Department of Statistics at Northwestern University in 2014, under the supervision of Wenxin Jiang; Postdoctoral associate at Duke University's Department of Statistical Science, working with David B. Dunson before 2016.

Background

Research focuses on scalable Bayesian inference for big data, Gaussian process, and Bayesian nonparametrics. Particularly works on Bayesian methodology and computational strategies that can scale Bayesian posterior sampling algorithms to massive data with complex dependencies. Recently, has been working on the theoretical foundation of scalable Gaussian process approximation for massive spatial data.

Co-authors

12 total