姓名:章晓菲 | 性别:女 | |
籍贯:湖北孝感 | 民族:汉 | |
所在系:统计学系 | 教研室: | |
是否博导:否 | 是否硕导:是 | |
职称:讲师 | 现任职务:无 | |
电子邮箱:zhangxf@zuel.edu.cn |
讲授课程
统计学,广义线性模型,多元统计分析
研究方向
抽样调查,分布式统计推断,高维数据分析
个人简历(教育背景、工作经历等)
1)2021-至今,beat365官网,beat365平台,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
科学研究
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.