章晓菲，中南财经政法大学统计与数学学院讲师，美国爱荷华州立大学统计学博士。研究兴趣包括分布式统计推断、高维数据分析和抽样调查。主要成果发表在Journal of the American Statistical Association，IEEE Transactions on Information Forensics and Security，International Conference on Learning Representations等顶级国际期刊及会议上。

科研兴趣

抽样调查，分布式统计推断，高维数据分析

主讲课程

统计学，广义线性模型，多元统计分析

高等教育

1）2021-至今，中南财经政法大学，统计与数学学院，讲师

2）2018-2021，美国爱荷华州立大学，统计学，博士

3）2015-2018，美国爱荷华州立大学，统计学，硕士

4）2011-2015，中国科学技术大学，统计学，学士

代表性论文

[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.