Tenure-track Associate Professor in School of Mathematical Sciences • Shanghai, China • 2022 - Present
Assistant Professor in School of Data Science • Shanghai, China • 2018 - 2021
Liu, W., Mao, X., Zhang, X., and Zhang, X. (alphabetical) (2024) "Robust Personalized Federated Learning with Sparse Penalization". Journal of the American Statistical Association, To appear.
Tu, J., Liu, W., and Mao, X. (2024) "Distributed Estimation on Semi-Supervised Generalized Linear Model". Journal of Machine Learning Research, 25(76), 1-41.
Mao, X., Wang, H., Wang, Z., and Yang, S. (alphabetical) (2024) "Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness". Journal of Computational and Graphical Statistics, To appear.
Liu, W., Mao, X., Zhang, X., and Zhang, X. (alphabetical) (2024) "Efficient Sparse Least Absolute Deviation Regression with Differential Privacy". IEEE Transactions on Information Forensics and Security, 19, 2328-2339.
Tu, J., Liu, W., Mao, X., and Xu, M. (2024) "Distributed Semi-Supervised Sparse Statistical Inference". IEEE Transactions on Information Theory, To appear.
Tang, K., Liu, W., and Mao, X. (2024) "Multi-Consensus Decentralized Primal-dual Fixed Point Algorithm for Distributed Learning". Machine Learning, To appear.
Wang, X., Liu, W., and Mao, X. (2024) "Byzantine-Robust Distributed Support Vector Machine". SCIENCE CHINA Mathematics, To appear.
He, X., Mao, X., and Wang, Z. (alphabetical) (2024) "Nonparametric Augmented Probability Weighting with Sparsity". Computational Statistics & Data Analysis, 191, 107890.
Tu, J., Liu, W., and Mao, X. (2023) "Byzantine-Robust Distributed Sparse Learning for M-Estimation". Machine Learning, 112(10), 3773-3804.
Mao, X., Wang, Z., and Yang, S. (alphabetical) (2023) "Matrix Completion under Complex Survey Sampling". Annals of the Institute of Statistical Mathematics, 75(3), 463-492.
Zhang, Y., Mao, X., Wang, J., and Liu, W. (2022) "DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI". IEEE Journal of Selected Topics in Signal Processing, 16(4), 725-736.
Chen, X., Liu, W., and Mao, X. (alphabetical) (2022) "Robust Reduced Rank Regression in a Distributed Setting". SCIENCE CHINA Mathematics, 65, 1707–1730.
Liu, W., Mao, X., and Zhang, X. (alphabetical) (2022) "Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach". IEEE Transactions on Signal Processing, 70, 797-809.
陈松蹊,毛晓军,王聪。(2022) "大数据情境下的数据完备化:挑战与对策"。 《管理世界》,第38卷,第1期,第196-207页。
Mao, X., Peng, L., and Wang, Z. (alphabetical) (2022) "Nonparametric Feature Selection by Random Forests and Deep Neural Networks". Computational Statistics & Data Analysis, 170, 107436.
Mao, X., Wong, R. K. W., and Chen, S. X. (2021) "Matrix Completion under Low-Rank Missing Mechanism". Statistica Sinica, 31(4), 2005–2030.
Tu, J., Liu, W., Mao, X., and Chen, X. (2021) "Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference". Journal of Machine Learning Research, 22(84), 1–67.
Chen, X., Liu, W., Mao, X., and Yang, Z. (alphabetical) (2020) "Distributed High-Dimensional Regression under a Quantile Loss Function". Journal of Machine Learning Research, 21(182), 1–43.
Mao, X., Dutta, S., Wong, R. K. W., and Nettleton, D. (2020) "Adjusting for Spatial Effects in Genomic Prediction". Journal of Agricultural, Biological, and Environmental Statistics, 25(4), 699-718.
Mao, X., Chen, S. X., and Wong, R. K. W. (2019) "Matrix Completion with Covariate Information". Journal of the American Statistical Association, 114(525), 198-210.
Zhang, Y., Xu, M., Mao, X., and Wang, J. (2022) "Uncertainty Modeling in Generative Compressed Sensing". ICML (CCF A), 26655-26668.
Bao, Y., Liu, W., Mao, X., and Xiong, W. (alphabetical) (2022) "Byzantine-Tolerant Distributed Multiclass Sparse Linear Discriminant Analysis". Uncertainty in AI (CCF B), 129-138.
Xiong, Z., Sun, J., Mao, X., Wang, J., Shan, Y., and Huang, Z. (2022) "Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy". WWW (CCF A), 599-609.
Wang, J., Wong, R. K. W., Mao, X., and Chan, K. C. G. (2021) "Matrix Completion with Model-free Weighting". ICML (CCF A), 10927-10936.
Liu, W., Mao, X., and Wong, R. K. W. (alphabetical) (2020) "Median Matrix Completion: from Embarrassment to Optimality". ICML (CCF A), 6294-6304.
Liu, W., Tu, J., Mao, X., and Chen, X. (2024+) "Majority Vote for Distributed Differentially Private Sign Selection". Submitted.
Liu, W., and Mao, X. (alphabetical) (2024+) "Fast Decentralized Median Value Estimation". Submitted.
Li, Z., Wei, Z., Huang, Z., Mao, X., and Wang, J. (2024+) "One-bit Matrix Completion with Differential Privacy". Submitted.
Liu, X., Liu, W., and Mao, X. (2024+) "Efficient and Provable Online Reduced Rank Regression via Online Gradient Descent". Submitted.
Liu, X., Liu, W., Mao, X., and Zhang, X. (2024+) "Decentralized Reduced Rank Regression for Response Partition". Submitted.
Li, Y-S., and Mao, X.. (2019) "PowerfulMaxEigenpair". The Comprehensive R Archive Network (CRAN). Source Code
Chen, M-F., and Mao, X.. (2017) "GlobalMaxEigenpair". Source Code
Chen, M-F., and Mao, X.. (2017) "EfficientMaxEigenpair". The Comprehensive R Archive Network (CRAN). Source Code
MATH3708: Big Data Analysis 2023 Fall
MA385: Big Data Analysis 2022 Fall
STAT6001H: Basic Mathematical Statistics 2022-2024 Spring
DATA 130044: Multivariate Statistical Analysis 2020-2021 Spring
DATA 630007: Text Mining and Analytic 2019 Spring
DATA 630011 : Big Data Analytics 2018-2021 Fall
DATA 130004h : Adavanced Regression Analysis 2021 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 2024 Xiaojun Mao