Alberto Quaini (2022)
Yinqiu He (2021-2022)
Shun Xu (PhD, Columbia, 2022) “On Recovering the Best Rank-r Approximation from Few Entries”
Tong Li (PhD, Columbia, 2021) “On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods”
Shulei Wang (PhD, University of Wisconsin, 2018) “Statistical inferences on Fluorescence signal quantification in microscopy imaging”
Cuize Han (PhD, University of Wisconsin, 2018) “Recovery of high order tensor and high dimensional function from adaptive sampling”
Dong Xia (2016-2018)
Krishna Balasubramanian (2014-2016)
Jun Fan (2014-2017)
Han Chen (PhD, University of Wisconsin, 2017; co-advised with Garvesh Raskutti) “Tensor-related methods in high dimensional statistics”
Luwan Zhang (PhD, University of Wisconsin, 2017) “Topics on Euclidean distance matrix and unsupervised ensemble learning”
Yi Xiao (PhD, Georgia Tech, 2015) “Some results in high-dimensional statistics”
Carlos Valencia (PhD, Georgia Tech, 2013) “Contributions to statistical learning and its applications to personalized medicine”
Yao Wang (2010-2011)
Soo-Hyun Kim (PhD, Georgia Tech, 2010) “The effects of high dimensional covariance matrix estimation on asset pricing and generalized least squares”
Lingyan Ruan (PhD, Georgia Tech, 2010) “Statistical analysis of high dimensional data”
Xinwei Deng (PhD, Georgia Tech, 2009; co-advised with Jeff Wu) “Contributions to statistical learning and statistical quantification in nanomaterials”