864-889-0519 chg@clemson.edu

Assistant Professor, School of Mathematical and Statistical Sciences

Email: lixinyi@clemson.edu

Visit the Li Lab

20120702 单寸


I am currently an assistant professor in the School of Mathematical and Statistical Sciences. Before joining Clemson, I was a postdoctoral fellow at the Statistical and Applied Mathematical Sciences Institute (SAMSI) and the University of North Carolina at Chapel Hill. I completed my bachelor’s degree in mathematical statistics from Beijing Normal University (Beijing, China). I then earned a master’s degree in statistics at the University of Georgia, and a Ph.D. in statistics at Iowa State University.


My research interests include, but are not limited to, precision medicine, functional data analysis, non-/semi-parametric high-dimensional regression, spatio-temporal analysis, with application to statistical genetics, neuroimaging and public health.


Cho H, Zitkovsky J, Li X, Lu M, Shah K, Sperger J, Tsilimigras MCB, and Kosorok MR. 2020. Comment: Diagnostics and kernel-based extensions for linear mixed effects models with endogenous covariates. Stat Sci. 35: 396–399. doi:10.1214/20-STS782.

Li X, Wang L, and Wang H. 2020. Sparse learning and structure identification for ultra-high-dimensional image-on-scalar regression. J Amer Stat Assoc. doi: 10.1080/01621459.2020.1753523.

Li X, Wang L, and Nettleton D. 2019. Additive partially linear models for ultra-high-dimensional regression. Stat. 8: e223. doi: 10.1002/sta4.223.

Li X, Wang L, and Nettleton D. 2019. Simultaneous sparse model identification and learning for ultra-high-dimensional additive partially linear models. J Multivar Anal. 173: 204-228. doi: 10.1016/j.jmva.2019.02.010.

Li, X., Fang, W. and Lin, W. (2014) Comparison of interpolation methods for tropical cyclone track and intensity over Northwestern Pacific basin. Journal of Beijing Normal University (Natural Science), 50(2), 111–116.