| 姓名：吴远山 | 性别：男 |
籍贯：湖北黄石 | 民族：汉 | |
所在系：数理统计与数据科学系 | 教研室：数理统计 | |
是否博导：是 | 是否硕导：是 | |
职称：教授 | 现任职务：副院长 | |
电子邮箱：wu@zuel.edu.cn | ||
吴远山，现任米兰电竞·(中国区)统计与数学学院教授、博士生导师。主要从事大数据的统计方法与理论基础、分位数回归、生存分析等相关的研究工作，在统计学顶级期刊Journal of the American Statistical Association、Biometrika和人工智能顶级期刊Journal of Machine Learning Research以及国内数学综合期刊SCIENCE CHINA Mathematics等发表学术论文30余篇。主持国家自然科学基金面上项目3项以及青年项目1项、参与科技部国家重点研发计划1项等。现任ACM Transactions on Probabilistic Machine Learning 编委。曾多次访问香港大学统计与精算学系、香港理工大学应用数学系等。更多信息请参见个人主页：https://wuyuanshan.github.io
代表性工作如下：
[1] Zhang, C., Gu, J., Wu, Y., and Yin, G. (2025). Normalized Area Above Quantile: An Alternative Measure to Restricted Mean Survival Time. Annals of Applied Statistics19, 3023–3044.
[2] Huang, J.† and Wu, Y.* (2024). High-Dimensional Robust Inference for Censored Linear
Models. SCIENCE CHINA Mathematics67, 891–918.
[3] He, B.†, Liu, Y., Wu, Y.*, Yin, G., and Zhao, X. (2020). Functional Martingale Residual Process for High-dimensional Cox Regression With Model Averaging. Journal of Machine Learning Research, 21(207), 1–37.
[4] Wu, Y.* and Yin, G. (2017). Multiple Imputation for Cure Rate Quantile Regression With Censored Data. Biometrics73, 94–103.
[5] Zhao, X., Wu, Y., and Yin, G. (2017). Sieve Maximum Likelihood Estimation for a Class of Accelerated Hazards Models. Bernoulli23, 3385–3411.
[6] Wu, Y. and Yin, G. (2015). Conditional Quantile Screening in Ultrahigh-Dimensional Heterogeneous Data. Biometrika102, 65–76.
[7] Wu, Y., Ma. Y., and Yin, G. (2015). Smoothed and Corrected Score Approach to Censored Quantile Regression With Measurement Errors. Journal of the American Statistical Association110, 1670–1683.
[8] Wu, Y. and Yin, G. (2013). Cure Rate Quantile Regression for Censored Data With a Survival Fraction. Journal of the American Statistical Association108, 1517–1531.
[9] Zhou, H., Song, R., Wu, Y., and Qin, J. (2011). Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design With a Continuous Outcome. Biometrics67, 194–202.
[10] Zhou, H., Wu, Y., Liu, Y., and Cai, J. (2011). Semiparametric Inference for a Two-Stage Outcome-Auxiliary-Dependent Sampling Design With a Continuous Outcome. Biostatistics12, 521–534.
