ZHANG Xiaofei is a lecturer at the School of Statistics and Mathematics, Zhongnan University of Economics and Law, and holds a Ph.D. in Statistics from Iowa State University, USA. Her research interests include distributed statistical inference, high-dimensional data analysis, and sampling surveys. Her main achievements have been published in top international journals and conferences such as Journal of the American Statistical Association, IEEE Transactions on Information Forensics and Security, and International Conference on Learning Representations.

Research Interests

Sampling surveys, distributed statistical inference, high-dimensional data analysis

Teaching

Statistics, Generalized Linear Models, Multivariate Statistical Analysis

Education

2021–Present, Lecturer, School of Statistics and Mathematics, Zhongnan University of Economics and Law

2018–2021, Ph.D. in Statistics, Iowa State University, USA

2015–2018, M.S. in Statistics, Iowa State University, USA

2011–2015, B.S. in Statistics, University of Science and Technology of China

Representative Publications

[1] 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. 

[2] 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. 

[3] Zhao, H., Zhang, X., & Yang, S. (2022). “Double score matching in observational studies with multi-level treatments”. Communications in Statistics-Simulation and Computation, 1-17.

[4] Li, X., JIANG, M., Zhang, X., Kamp, M., & Dou, Q. (2021). “FedBN: Federated Learning on Non-IID Features via Local Batch Normalization”. In International Conference on Learning Representations.

[5] Zhang, X., & Fuller, W. A. (2021). “A Sampling Design for Ordered Populations”. Journal of Survey Statistics and Methodology, 9(1), 121-140.