Jiyuan Tu, Weidong Liu, and Xiaojun Mao. (2021+) "Byzantine-Robust Distributed Sparse Learning for M-Estimation". Submitted.
Xiaojun Mao, Zhonglei Wang, and Shu Yang (alphabetical). (2021+) "Matrix Completion for Survey Data Prediction with Multivariate Missingness". Submitted. arXiv
Xi Chen, Weidong Liu, and Xiaojun Mao (alphabetical). (2021) "Robust Reduced Rank Regression in a Distributed Setting". SCIENCE CHINA Mathematics, To appear.
Xiaojun Mao, Raymond K. W. Wong, and Song Xi Chen. (2021) "Matrix Completion under Low-Rank Missing Mechanism". Statistica Sinica, To appear. Journal
Jiyuan Tu, Weidong Liu, Xiaojun Mao, and Xi Chen. (2021) "Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference". Journal of Machine Learning Research, To appear. arXiv
Weidong Liu, Xiaojun Mao, and Raymond K. W. Wong (alphabetical). (2020) "Median Matrix Completion: from Embarrassment to Optimality". International Conference on Machine Learning (ICML), 6294-6304. Proceedings
Xiaojun Mao, Somak Dutta, Raymond K. W. Wong, and Dan Nettleton. (2020) "Adjusting for Spatial Effects in Genomic Prediction". Journal of Agricultural, Biological, and Environmental Statistics, 25(4), 699-718. Journal
Xi Chen, Weidong Liu, Xiaojun Mao, and Zhuoyi Yang (alphabetical). (2020) "Distributed High-Dimensional Regression under a Quantile Loss Function". Journal of Machine Learning Research, 21(182), 1–43. Journal
Xiaojun Mao, Song Xi Chen, and Raymond K. W. Wong. (2019) "Matrix Completion with Covariate Information". Journal of the American Statistical Association, 114(525), 198-210. Journal
Yue-Shuang Li and Xiaojun Mao. (2019) "PowerfulMaxEigenpair". The Comprehensive R Archive Network (CRAN). Source Code
Mu-Fa Chen and Xiaojun Mao. (2017) "GlobalMaxEigenpair". Source Code
Mu-Fa Chen and Xiaojun Mao. (2017) "EfficientMaxEigenpair". The Comprehensive R Archive Network (CRAN). Source Code
DATA 130044: Multivariate Statistical Analysis 2020, 2021 Spring
DATA 630007: Text Mining and Analytic 2019 Spring
DATA 630011 : Big Data Analytics 2018-2020 Fall
Stat 105XW: Introduction to Statistics for Engineers 2017 Fall
Stat 546: Nonparametric Statistics 2015 Fall
Stat 543: Theory of Probability and Statistics II 2015 Spring
Stat 542: Theory of Probability and Statistics I 2014 Fall
Stat 231: Engineering Probability 2014 Spring
Stat 305: Engineering Statistics 2013 Fall
PhD in Statistics • Ames, IA, USA • 2013 - 2018
Master in Statistics • Ames, IA, USA • 2013 - 2015
Bachelor in Mathematics with minor in Physics• Shanghai, China • 2009 - 2013
© Copyright 2020 Xiaojun Mao