Bayesian Nonparametrics with Gaussian Process Priors 

Variable Selection Consistency of Gaussian Process Regression (with Surya T. Tokdar) 

The Annals of Statistics, 2021

[arXiv]  [AoS] [slides] (presented at ISBA 2022) 

Heavy Tailed Density Estimation (with Surya T. Tokdar, and Erika L. Cunningham) 

The Journal of the American Statistical Association, 2024

[arXiv] [JASA]  [slides] (presented at JSM 2022) 

Errors-in-variables Gaussian Processes for Mixed-input Regression (with Penghui Fu) 

in preparation 

[arXiv]  [slides] 

[GitHub] for the R package "eivGP" 

Network Data Analysis 

Consistent Bayesian Community Detection for Assortative Networks (with Surya T. Tokdar)  

under revision, new version coming soon 

[arXiv]  [slides] (presented at EcoSta 2022) 

Variational Bayes 

Variational Bayes for Group Variable Selection in High-Dimensional Linear Regression (with Bruno Sanso)  

in preparation 

[arXiv]  [slides]

Applied Statistics

Bayesian Oceanographic Flow Cytometry Data Analysis with Censorship  (with Sangwon Hyun)  

in preparation 

[arXiv]  [slides] (presented at 13th China Prob&Stats conference)

[GitHub] for the R package "flowcut" 

Occurrence and distribution of hexavalent chromium in groundwater from North Carolina, USA (with Rachel M.Coyte, Kristen L.McKinley, Jonathan Karr, Gary S.Dwyer, Amy J. Keyworth, Christina C. Davis, Andrew J. Kondash, Avner Vengosh) 

Science of The Total Environment, 2020 

[Sci. Total Environ.] 

 Estimating returns to education in urban China: Evidence from a natural experiment in schooling reform (with Yi Chen and Li'an Zhou) 

Journal of Comparative Economics, 2020 

[J.Comp.Econ.] [media] (in Chinese)

Thesis and dissertation

Bayesian Models for Causal Analysis with Many Potentially Weak Instruments, MS thesis [.pdf], 2015

Consistency and Adaptation of Gaussian Process Regression, Bayesian Stochastic Block Model and Tail Index, PhD dissertation [.pdf] [slides], 2021

Data and code are available for reproducing the results.