Portrait of the author

My name is Xiaojun Mao, and I am currently an assistant professor in School of Data Science, Fudan University, China. My research interests include high-dimensional statistical inference, matrix completion and recommender systems, distributed statistical inference, spatial statistics, genomic prediction and genomic selection. Before joining Fudan, I obtained both of my M.S. and Ph.D. degree in Statistics from Iowa State University in 2015 and 2018, respectively. I received my B.S. degree from Shanghai Jiao Tong University in 2013.

Academic Position

Fudan University

Assistant Professor in School of Data Science Shanghai, China 2018 - Present



Research Interests

  • High-dimensional Statistical Inference
  • Matrix Completion and Recommender Systems
  • Distributed Statistical Inference
  • Spatial Statistics, Genomic Prediction and Genomic Selection


  • National Natural Science Foundation of China (Youth Award), 12001109, PI. (2021-2023)
  • Shanghai Sailing Program, 19YF1402800, PI. (2019 - 2022)


Selected Publications and Preprints

  1. Jiyuan Tu, Weidong Liu, and Xiaojun Mao. (2021+) "Byzantine-Robust Distributed Sparse Learning for M-Estimation". Submitted.  

  2. Xiaojun Mao, Zhonglei Wang, and Shu Yang (alphabetical). (2021+) "Matrix Completion for Survey Data Prediction with Multivariate Missingness". Submitted.   arXiv

  3. Xi Chen, Weidong Liu, and Xiaojun Mao (alphabetical). (2021) "Robust Reduced Rank Regression in a Distributed Setting". SCIENCE CHINA Mathematics, To appear.  

  4. Xiaojun Mao, Raymond K. W. Wong, and Song Xi Chen. (2021) "Matrix Completion under Low-Rank Missing Mechanism". Statistica Sinica, To appear.   Journal

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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


  1. Yue-Shuang Li and Xiaojun Mao. (2019) "PowerfulMaxEigenpair". The Comprehensive R Archive Network (CRAN).   Source Code

  2. Mu-Fa Chen and Xiaojun Mao. (2017) "GlobalMaxEigenpair".   Source Code

  3. Mu-Fa Chen and Xiaojun Mao. (2017) "EfficientMaxEigenpair". The Comprehensive R Archive Network (CRAN).   Source Code


Fudan University, China

Course Instructor

DATA 130044: Multivariate Statistical Analysis 2020, 2021 Spring

DATA 630007: Text Mining and Analytic 2019 Spring

DATA 630011 : Big Data Analytics 2018-2020 Fall

Iowa State University, USA

Course Instructor

Stat 105XW: Introduction to Statistics for Engineers 2017 Fall

Teaching Assistant

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


Iowa State University

PhD in Statistics Ames, IA, USA 2013 - 2018

Iowa State University

Master in Statistics Ames, IA, USA 2013 - 2015

Shanghai Jiao Tong University

Bachelor in Mathematics with minor in Physics Shanghai, China 2009 - 2013


No. 220 Handan Road, Shanghai 200433

© Copyright 2020 Xiaojun Mao