Tenure-track Associate Professor in School of Mathematical Sciences • Shanghai, China • 2022 - Present
Assistant Professor in School of Data Science • Shanghai, China • 2018 - 2021
Xia, H., Liu, W., and Mao, X.. (2024) "ST$_k$: A Scalable Module for Solving Top-k problems". NeurIPS, To appear.
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.
Liu, W., Tu, J., Mao, X., and Chen, X. (2024) "Majority Vote for Distributed Differentially Private Sign Selection". The Annals of Statistics, 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.
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, 70(6), 4197-4217.
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.
Zhang, Y., Xu, M., Mao, X., and Wang, J. (2022) "Uncertainty Modeling in Generative Compressed Sensing". ICML, 26655-26668.
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。
Wang, J., Wong, R. K. W., Mao, X., and Chan, K. C. G. (2021) "Matrix Completion with Model-free Weighting". ICML, 10927-10936.
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.
Liu, W., Mao, X., and Wong, R. K. W. (alphabetical) (2020) "Median Matrix Completion: from Embarrassment to Optimality". ICML, 6294-6304.
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., Chen, S. X., and Wong, R. K. W. (2019) "Matrix Completion with Covariate Information". Journal of the American Statistical Association, 114(525), 198-210.
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.
Mao, X., Wang, H., and Wang, Z. (alphabetical) (2024+) "Group-Sparse Inductive Matrix Completion through Transfer Learning". 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
STAT6105: Big Data Analysis 2024 Fall
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