联系方式：
办 公 室：曲阜师范大学统计学院103房间
电子邮箱: xlchen@amss.ac.cn
通讯地址：山东省曲阜市静轩西路57号曲阜师范大学统计学院
研究方向：
生存分析、缺失数据分析、高维数据分析、大规模数据分析、Meta分析、统计学习
教育经历：
2009.09—2012.07 中国科学院数学与系统科学研究院 博士
2004.09—2007.07 苏州大学大学数学科学学院 硕士
2000.09—2004.07 曲阜师范大学数学科学学院 学士
工作经历：
2016.12至今 曲阜师范大学统计学院
2012.07—2016.11 中国石油大学（华东）理学院
2007.07—2009.09 曲阜师范大学数学科学学院
学术访问经历：
2018.12—2019.12 美国新泽西州立罗格斯大学统计与生物统计系
2016.06—2016.07 中国海洋大学数学科学学院
2016.01—2016.01 香港理工大学应用数学系
2015.07—2015.08 香港理工大学应用数学系
2014.08—2015.01 香港大学统计与精算系
2014.06—2014.07 香港理工大学应用数学系
2012.09—2012.10 香港理工大学应用数学系
主持的科研项目：
1、山东省自然科学基金面上项目，超高维(半)竞争风险数据的若干变量筛选和选择方法研究，ZR2020MA023，2021.01--2023.12。(在研)
2、国家自然科学基金青年基金项目，超高维生存数据变量筛选和选择中若干问题的研究，11501573，2016.01--2018.12。(结题)
3、国家自然科学基金数学天元基金项目，复发事件数据下具有遗传性的变量选择方法研究，11326184，2014.01--2014.12。(结题)
参与的主要科研项目：
1、国家自然科学基金面上项目，几类因子试验的最优设计与数据分析，11771250，2018.01--2021.12。
2、国家社会科学基金一般项目，超高维生存数据的统计推断及应用研究，17BTJ019，2017.01--2019.12。
3、国家自然科学基金青年基金项目，基于人工蜂群算法求解多模态优化问题研究，61402534，2015.01--2017.12。
4、山东省自然科学基金青年基金，基于知识学习的差分进化算法在复杂优化问题中的研究，ZR2014FQ002，2014.12--2017.12。
5、山东省自然科学基金培育基金，非凸核学习算法研究及其在肽段鉴别中的应用，ZR2014AP004，2014.12--2016.12。
科研论文（*通讯作者；#指导的学生）：
1、Xiaolin Chen, Chenguang Li#, Tao Zhang and Zhenlong Gao* (2021+). On correlation rank screening for ultra-high dimensional competing risks data. Journal of Applied Statistics. https://doi.org/10.1080/02664763.2021.1884209. (SCI，JCR4区，IF=1.031. Accessed 03-31-2021)
2、Xiaolin Chen, Chunling Liu and Sheng Xu* (2021+). An efficient algorithm for joint feature screening in ultrahigh-dimensional Cox's model. Computational Statistics. https://doi.org/10.1007/s00180-020-01032-9. (SCI，JCR4区，IF=0.744. Accessed 09-03-2020)
3、Xiaolin Chen*, Wei Liu and Xiaojing Chen (2021+). Model-free survival conditional feature screening. Communications in Statistics - Simulation and Computation. https:// doi.org/10.1080/03610918.2020.1779293. (SCI，JCR4区，IF=0.651. Accessed 13-07-2020)
4、Yi Liu, Xiaolin Chen* (2021+). A new robust model-free feature screening method for ultra-high dimensional right censored data. Communications in Statistics - Theory and Methods. https://doi.org/10.1080/03610926.2020.1769672. (SCI，JCR4区，IF=0.424. Accessed 25-05-2020)
5、Shuiyun Lu#, Xiaolin Chen* and Hong Wang (2021+). Conditional distance correlation sure independence screening for ultra-high dimensional survival data. Communications in Statistics - Theory and Methods. https://doi.org/10.1080/03610926.2019.1657454. (SCI，JCR4区，IF=0.424. Accessed 09-05-2019)
6、Wei Zhong, Jiping Wang and Xiaolin Chen* (2021). Censored mean variance sure independence screening for ultrahigh dimensional survival data. Computational Statistics & Data Analysis, 159, 107206. (SCI，JCR3区，IF=1.186. Accessed 03-31-2021)
7、Shuiyun Lu#, Xiaolin Chen*, Sheng Xu and Chunling Liu (2020). Joint model-free feature screening for ultra-high dimensional semi-competing risks data. Computational Statistics & Data Analysis, 147, 106942. (SCI，JCR2区，IF=1.323. Accessed 03-15-2020)
8、Xiaolin Chen*, Yahui Zhang#, Yi Liu and Xiaojing Chen (2020). Model-free feature screening for ultra-high dimensional competing risks data. Statistics and Probability Letters, 164, 108815. (SCI，JCR4区，IF=0.615. Accessed 25-05-2020)
9、Yi Liu, Xiaolin Chen and Gang Li* (2020). A new joint screening method for right-censored time-to-event data with ultra-high dimensional covariates. Statistical Methods in Medical Research, 29(6), 1499-1513. (SCI，JCR1区，IF=2.388. Accessed 09-05-2019)
10、Xiaolin Chen* (2020). Regression analysis for the additive hazards model with general biased survival data. Acta Mathematicae Applicatae Sinica (English Series), 36(3), 545-556. (SCI，JCR4区，IF=0.791. Accessed 09-03-2020)（Accepted on 06-14-2015）
11、Xiaolin Chen*, Xiaojing Chen and Yi Liu (2019). A note on quantile feature screening via distance correlation. Statistical Papers, 60, 1741-1762. (SCI，JCR3区，IF=1.345. Accessed 09-05-2019)
12、Xiaolin Chen, Yi Liu and Qihua Wang* (2019). Joint feature screening for ultra-high-dimensional sparse additive hazards model by the sparsity-restricted pseudo-score estimator. Annals of the Institute of Statistical Mathematics, 71(5), 1007-1031. (SCI，JCR3区，IF=0.772. Accessed 09-05-2019)
13、Xiaolin Chen, Yahui Zhang#, Xiaojing Chen and Yi Liu* (2019). A simple model-free survival conditional feature screening. Statistics & Probability Letters, 146, 156-160. (SCI，JCR4区，IF=0.615. Accessed 09-05-2019)
14、Xiaolin Chen*, Xiaojing Chen, and Hong Wang (2018). Robust feature screening for ultra-high dimensional right censored data via distance correlation. Computational Statistics & Data Analysis, 119, 118-138. (SCI，JCR2区，IF=1.323. Accessed 09-05-2019)
15、Xiaolin Chen* (2018). Model-free conditional feature screening for ultra-high dimensional right censored data. Journal of Statistical Computation and Simulation, 88(12), 2425-2446. (SCI，JCR3区，IF=0.767. Accessed 09-05-2019)
16、Xiaolin Chen* and Jianwen Cai (2018). Reweighted estimators for additive hazard model with censoring indicators missing at random. Lifetime Data Analysis, 24(2), 224-249. (SCI，JCR3区，IF=0.948. Accessed 09-05-2019)
17、Yi Liu and Xiaolin Chen* (2018). Quantile screening for ultra-high dimensional heterogeneous data conditional on some variables. Journal of Statistical Computation and Simulation, 88(2), 329-342. (SCI，JCR3区，IF=0.767. Accessed 09-05-2019)
18、Hong Wang, Xiaolin Chen and Gang Li* (2018). Survival Forests with R- Squared Splitting Rules. Journal of Computational Biology, 25(4), 388-395. (SCI，JCR3区，IF=0.879. Accessed 09-05-2019)
19、Xiaolin Chen* and Qihua Wang (2015). Semiparametric proportional mean residual life model with censoring indicators missing at random. Communications in Statistics -Theory and Methods, 44(24), 5156-5188. (SCI，JCR4区，IF=0.424. Accessed 09-05-2019)
20、Xiaolin Chen* (2014). Partially time-varying coefficient linear rate model for the recurrent event data. Acta Mathematicae Applicatae Sinica-English Series, 30(3), 681-698. (SCI, JCR4区, IF=0.326. Accessed 09-05-2019)
21、Xiaolin Chen* and Yunquan Song (2014). Semiparametric inference based on weighted estimating equations for additive hazards model with covariates missing at random. Proceedings of International Conference on Mathematics, Statistics, and Financial Mathematics 2014 (ICMSFM2014) with IASC-ARS Sessions.
22、Xiaolin Chen and Qihua Wang* (2013). Variable selection in the additive rate model for recurrent event data. Computational Statistics & Data Analysis, 57(1), 491-503. (SCI，JCR2区，IF=1.323. Accessed 09-05-2019)
23、Xiaolin Chen* and Qihua Wang (2013). Semiparametric proportional mean residual life model with covariates missing at random. Journal of Nonparametric Statistics, 25(3), 647-663. (SCI，JCR4区，IF=0.706. Accessed 09-05-2019)
24、Xiaolin Chen, Qihua Wang*, Jianwen Cai and Viswanathan Shankar (2012). Semiparametric additive marginal regression models for multiple type recurrent events. Lifetime Data Analysis, 18(4), 504-527. (SCI，JCR3区，IF=0.948. Accessed 09-05-2019)
编著教材：
1、李荣华，丁永臻，陈晓林（2018）。概率论与数理统计。中国石油大学出版社。
社会服务：
中国现场统计会议高维数据分会第一届、第二届理事
美国数学评论评论员
曾是以下期刊的审稿人：
Statistical Methods in Medical Research
Computational Statistics & Data Analysis
Statistical Paper
Journal of Computational Statistics and Simulation
Journal of the Korean Statistical Society
Statistics and Its Interface
Journal of Applied Statistics
Communications in Statistics - Theory and Methods
Acta Mathematicae Applicatae Sinica (English Series)
Filomat
Biostatistics & Epidemiology
曾是以下机构的项目评审人：
Internal grant program of American University of Sharjah
指导研究生情况：
学术型硕士：
鲁水云，2017.09--2020.07。毕业论文：基于距离相关的超高维复杂生存数据的特征筛选。（攻读硕士学位期间以第一作者发表SCI期刊论文2篇；毕业当年考取北京工业大学博士研究生；山东省优秀毕业生；获研究生国家奖学金）
张亚辉，2017.09--2020.07。毕业论文：两类超高维右删失数据特征筛选方法的研究。（攻读硕士学位期间发表SCI期刊论文2篇）
李辰光，2017.09--2020.07。毕业论文：基于相关秩的超高维竞争风险数据的特征筛选研究。（攻读硕士学位期间发表SCI期刊论文1篇）
专业型硕士：
曹胜男，2017.09--2019.07。毕业论文：基于数据挖掘算法的微信公众号阅读量分析。
王爱娥，2017.09--2019.07。毕业论文：基于互联网金融下的信贷逾期预测的研究。
教授课程：
本科生：应用非参数统计、概率论与数理统计
研究生：高等数理统计、非参数统计
