个人简介王磊，教授、博导、南开大学百名青年学科带头人。研究方向是统计学习和复杂数据分析，在Current Biology（Cell子刊）、Biometrika（1）、Science China Mathematics（3）、eLife（1）、Annals of Applied Statistics（1）、Bernoulli（1）、Journal of Computational and Graphical Statistics（2）、Statistica Sinia（6）、Statistics and Computing （4）、Statistics in Medicine（2）、Scandinavian Journal of Statistics（3）、Information Science（2）、Knowledge-Based Systems (1)、Applied Mathematical Modelling（1）、Neural Networks（1）、Applied Intelligence（1）、Nuerocomputing（2）、Test（2）、Computational Statistics and Data Analysis（8）等统计学杂志发表学术论文90多篇，其中1篇为ESI高被引论文。
2024年: 天津市数学与统计联合会议青年学者奖，南开大学优秀硕士学位论文指导教师、第七届全国应用统计专业学位研究生教育教学成果奖 2023年：荣获南开大学优秀硕士学位论文指导教师、南开大学研究生创新实践优秀指导教师 2020年：第五届全国应用统计专业学位研究生教育教学成果奖 2019年：南开大学五四青年奖章 2018年：入选天津市131创新型人才培养工程第三层次、第四届全国应用统计专业学位研究生教育教学成果奖 2016年：荣获上海市优秀博士学位论文荣誉称号
________________________________________________________________________ News 国家自然科学基金面上项目《几类复杂高维大数据的稀疏学习与融合分析》（2023.01-2026.12）获批。 ________________________________________________________________________ 代表论文 (其它论文请见“论文专著”) [48] [47] [46] [45]Zihao Song#(硕士), Jicai Liu, Lei Wang, Heng Lianand Weihua Zhao*.Statistics and Computing, revised. [44] [43] [42] [41] [40] [39] [38] [37]Fang Fang, Long Tian, Jun Shao and Lei Wang*. Journal of Computational and Graphical Statistics, to appear. （中科院2区，JCR Q1） [36]Xing Li#(硕士)，Yanjing Peng#(硕士) and Lei Wang*. Computational Statistics and Data Analysis, to appear. [35]Yanjing Peng#(硕士) and Lei Wang*. Computational Statistics and Data Analysis, to appear. [34]Yujing Shao#(博士),Lei Wang* and Heng Lian. Statistics and Computing, to appear. [33]Junzhuo Gao#(硕士), Lei Wang* and Haiying Wang. Statistics and Computing, to appear. [32]Jiamin Liu，Lei Wang and Heng Lian*.Neural Networks, to appear. （中科院1区，JCR Q1） [31]Jichen Yang#(博士)，Yujing Shao#(博士) and Lei Wang*. Neurocomputing, to appear.（中科院2区，JCR Q1） [30]Yujing Shao#(博士), Lei Wang* and Heng Lian. Journal of Computational and Graphical Statistics, to appear [29]Xing Li#(硕士)，Yujing Shao#(博士) and Lei Wang*. Test, to appear. [28]Chunyang Zhu#(硕士), Lei Wang*, Weihua Zhao* and Heng Lian. Applied Intelligence, to appear. （中科院2区，JCR Q2） [27]Ziyuan Wang#(硕士) and Lei Wang*. Scandinavian Journal of Statistics, to appear. [26]Mengyi Wang, Xueling Wang, Ling Wang, Li Zheng, Shuang Meng, Nan Zhu, Xingwei An, Lei Wang*, Jiajia Yang*, Chengguang Zheng* and Dong Ming*. Current Biology, to appear. （中科院1区，JCR Q1） [25]Zhaohan Hou#(硕士) and Lei Wang*. Computational Statistics and Data Analysis, to appear. [24]Xudong Zhang#(硕士) and Lei Wang*. Information Sciences, to appear. [23]Dongyu Li#(硕士) and Lei Wang*. SCIENCE CHINA Mathematics, to appear. [22]Wei Ma#(博士)，Junzhuo Gao#(硕士)，Lei Wang* and Heng Lian. Statistica Sinica, to appear. [21]Yue Wang, Wenqi Lu, Lei Wang, Zhongyi Zhu, Hongmei Lin and Heng Lian. Statistica Sinica, to appear. [20]Zihao Song#(硕士), Lei Wang*and Weihua Zhao*. Applied Mathematical Modelling, to appear. [19]Yaohong Yang#(硕士)，Lei Wang* and Heng Lian. Computational Statistics and Data Analysis, to appear. [18]Ly Ni, Jinyi Wang, Jun Shao and Lei Wang*. Statistica Sinica, to appear. [17]Junzhuo Gao#(硕士) and Lei Wang*. Communication-efficient low-dimensional parameter estimation and inference for high-dimensional $L^p$-quantile regression. Scandinavian Journal of Statistics, to appear. [16]Yaohong Yang#(硕士)，Lei Wang* and Weihua Zhao. Computational Statistics and Data Analysis, to appear. [15]Zhaohan Hou#(硕士)，Wei Ma#(博士) and Lei Wang*. TEST, to appear. [14]Junzhuo Gao#(硕士) and Lei Wang* (2023).Communication-efficient distributed estimation of partially linear models for large-scale data. Information Sciences, 631, 185-201. [13]Jun Shao, Jinyi Wang and Lei Wang* (2023). SCIENCE CHINA Mathematics, to appear. [12]Junzhuo Gao#(硕士), Lei Wang* and Heng Lian (2023).Optimal decorrelated score subsampling for generalized linear models with massive data. SCIENCE CHINA Mathematics, to appear. [11]Baofang Ke#(博士), Lei Wang* and Weihua Zhao (2023).Smoothed tensor quantile regression estimation for longitudinal data. Computational Statistics and Data Analysis, 178, 10709. [10]Fengrui Di#(硕士), Lei Wang* and Heng Lian (2022). Communication-efficient estimation and inference for high-dimensional quantile regression based on smoothed decorrelated score. Statistics in Medicine, 41 (25), 5084-5101. [9]Dongyu Li#(硕士), Lei Wang* and Weihua Zhao (2022). Estimation and inference for multi-kink expectile regression with longitudinal data. Statistics in Medicine, 41 (7), 1296-1313. [8]Lei Wang, Puying Zhao* and Jun Shao (2021). Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonreponse. Computational Statistics and Data Analysis, 156, 107142. [7]Puying Zhao, Lei Wang* and Jun Shao (2021).. Sufficient dimension reduction for instrument search and estimation efficiency with nonignorable nonresponse. Bernoulli, 27 (2), 930-945. [6]Ting Zhang and Lei Wang*(2020). Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response. Computational Statistics and Data Analysis, 144, 106888. [5]Lei Wang, Jun Shao, Fang Fang* (2021). Simultaneous propensity and instrument selection with nonignorable nonresponse. Statistica Sinica, 31 (2), 647-672. [4]Puying Zhao, Lei Wang* and Jun Shao. (2019) Empirical likelihood and Wilks phenomenon for data with nonignorable missing values. Scandinavian Journal of Statistics, 46 (4), 1003-1024. (共同一作) [3]Tram Ta, Jun Shao, Quefeng Li and Lei Wang*. Generalized regression estimators with high-dimensional covariates. Statistica Sinica, Doi:10.5705/ss.202017.0384, to appear. [2]Cui Xiong, Jun Shao* and Lei Wang. (2019) Convex surrogate minimization in classification. Statistica Sinica, 29 (1): 353-369. [1]Jun Shao and Lei Wang*. (2016) Semiparametric inverse propensity weighting for nonignorable missing data. Biometrika, 103 (1): 175-187. __________________________________________________________________ 学生获奖及荣誉
2024年，学硕张旭东获国家奖学金及南开大学三好学生 2024年，高俊卓获南开大学“优秀毕业生”称号 2024年，学硕彭燕襟获得南开大学三好学生、研究生公能奖学金二等 2024年，学硕米雅洁获得南开大学研究生公能奖学金一等 2024年4月，学硕高俊卓荣获香港博士研究生奖学金计划（HKPFS） 2024年4月，原清宇,宋萌萌,王炳森,汪诗棋,徐欣妍获第14届全国大学生市场调查与分析大赛天津市一等奖，指导教师：王磊 2024年，专硕赵星澎获得南开大学一等公能奖学金及南开大学三好学生 2023年，学硕燕襟获得研究生公能奖学金一等 2023年12月，于小晗、齐思涵、赵星澎获第二十届中国研究生数学建模大赛二等奖，指导教师：王磊 2023年10月，邵雨静荣获第七届全国统计学博士研究生学术论坛二等奖 2023年10月，邸丰瑞荣获南开大学2023年优秀硕士学位论文 2023年10月，学硕高俊卓荣获姜立夫优秀学生奖学金特等奖 2023年10月，学硕高俊卓荣获国家奖学金 2023年，李冬雨考入中科院科学与系统科学研究院攻读博士研究生，导师王启华研究员。 2023年，李冬雨获南开大学“优秀毕业生”称号 2022年12月，王磊、李聪航、王晓楠、颜致远编写的案例被全国应用统计专业学位教育教学案例库收录。 2022年12月，学硕高俊卓荣获悟空投资高水平原创成果奖励计划二等奖 2022年12月，司马成晨获第十九届中国研究生数学建模大赛二等奖，指导教师：王磊 2022年12月，王馨竹获第十九届中国研究生数学建模大赛三等奖，指导教师：王磊 2022年11月，柯宝芳荣获第六届全国统计学博士研究生学术论坛三等奖 2022年10月，学硕邸丰瑞荣获国家奖学金 2022年09月，学硕李冬雨、邸丰瑞、高俊卓荣获校级研究生优秀学生 2022年09月，颜致远获第五届全国应用统计专业学位研究生案例大赛二等奖，指导教师：王磊 2022年09月，李聪航获第五届全国应用统计专业学位研究生案例大赛二等奖，指导教师：王磊 2022年，贺小红获南开大学“优秀毕业生”称号 2022年，李冬雨获陈省身学术新人奖学金 2021年，李冬雨获国家奖学金 2020年，夏政获南开大学“优秀毕业生”称号 2020年，马维荣获第四届全国统计学博士研究生学术论坛优秀奖 2020年，吴凤婷获第四届全国应用统计专业学位研究生案例大赛二等奖,指导教师：王磊 ________________________________________________________________________ 毕业研究生 2024届：博士毕业生： 孙思颖（天津商业大学，讲师），马维（中国移动公司，北京）。硕士毕业生：高俊卓（香港城市大学读博），杨耀鸿（芬兰阿尔托大学读博），候召涵（深圳坪山高级中学，教师），司马成晨（阿里巴巴-淘天集团），刘晓燕（长江证券总部）， 王馨竹（国家金融监督管理总局北京监管局） 2023届：李聪航（中国邮政储蓄银行），王佳（中国移动南京分公司），颜致远（中国交通银行），李冬雨（中科院读博），王雅楠（中国工商银行），邸丰瑞（北京市审计局） 2022届：安雅婧（中国银行总行），高欣玥（出国） 2021届：吴凤婷 （龙湖地产有限公司），贺小红（天津市统计局） 2020届：苏嘉兴（中国建设银行股份有限公司河北省分行），孙晓涵（中国烟草总公司湖北省公司随州市局），夏 政（国家统计局安徽调查队），王慧宇 (美团科技有限公司) ________________________________________________________________________ 在学研究生 2024级：吴翊宁（直博) 高晨喻（专硕） 张玮函（专硕） 刘晓旭（专硕） 2023级：单君昊（直博) 李星（学硕） 费雨欣（学硕）王滋源（学硕） 于小晗（专硕） 齐思涵（专硕） 赵星澎（专硕） 2022级：杨继辰（直博) 张旭东（贯通） 彭燕襟（学硕）米雅洁（学硕） 2021级：柯宝芳（直博) 2020级：邵雨静（直博) ________________________________________________________________________ 学生境外学术交流 2023年1月-2024年1月，马维（直博生, 2019年9月-现在），赴新加坡国立大学联合培养博士1年 2019年9月-2020年9月，王慧宇（硕士生, 2018年9月-现在），赴英国伯明翰大学数学系联合培养1年（南开大学-伯明翰大学联合硕士培养项目） 2019年9月-2020年9月，高欣玥（硕士生, 2019年9月-现在），赴英国伯明翰大学数学系联合培养1年（南开大学-伯明翰大学联合硕士培养项目） 2020年9月-2021年9月，安雅婧（硕士生, 2019年9月-现在），赴英国伯明翰大学数学系联合培养1年（南开大学-伯明翰大学联合硕士培养项目） ________________________________________________________________________ 社会兼职 中国现场统计研究会统计调查分会理事(2023年--至今) 中国现场统计研究会因果推断分会常务理事(2022年--至今) 天津现场统计研究会常务理事(2022年--至今) 泛华统计学会永久会员(2019年--至今) 北京应用统计学会理事(2019年--至今) 全国工业统计学教学研究会青年统计学家协会理事(2019年--至今) 中国现场统计研究会生存分析分会副秘书长 (2018年--至今). Associate Editor, Journal of Nonparametric Statistics (2017年--至今). 中国现场统计研究会生物统计分会理事 (2017年--至今). 担任美国《Mathematical Reviews》 特约评论员 (2015年--至今). 担任JASA, Biometrika, Statistica Sinica, SCIENCE CHINA Mathematics, Computational Statistics and Data Analysisa, Journal of Applied Statistics, Journal of Nonparametric Statistics, Statistical Theory and Related Fields,系统科学与数学,中国科学,Journal of Statistical Simulation and Computation, Computers and Industrial Engineering,Statistics and Probability Letters 等杂志的审稿人。 ________________________________________________________________________ 其它论文 [51] Junzhuo Gao #(硕士) and Lei Wang*. Analysis and Applications, to appear. [50] Yajie Mi#(硕士) and Lei Wang*. Statistics, to appear. [49] Yujing Shao#(博士)and Lei Wang*. 四川大学学报, to appear. [48] Yajie Mi#(硕士) and Lei Wang*. Journal of Applied Statistics, to appear. [47] Ting Zhang, Yanan Wamg#(硕士) and Lei Wang*. Journal of the Korean Statistical Society, to appear. [46] Jun Shao and Lei Wang*. Chinese Journal of Applied Probability and Statistics, to appear. [45] Dongyu Li#(硕士) and Lei Wang*. Statistical Theory and Related Fields, to appear. [44] Junhao Shan#(博士) and Lei Wang*. Journal of Applied Statistics, to appear. [43] Yaohong Yang#(硕士) and Lei Wang*. Journal of the Korean Statistical Society, to appear. [42] Yanjing Peng#(硕士) and Lei Wang*. Journal of Systems Science and Complexity, to appear. [41] Xudong Zhang#(硕士)，Ting Zhang and Lei Wang*. Statistics, to appear. [40] Yujing Shao#(博士), Wei Ma#(博士) and Lei Wang*. Robust statistical inference for longitudinal data with nonignorable dropouts. Statistics, to appear. [39] Yaohong Yang#(硕士) and Lei Wang*. Communication-efficient sparse composite quantile regression for distributed data. Metrika, to appear.. [38] Yingsi Sun#(博士), Yaohong Yang#(硕士) and Lei Wang*. Dimension-reduced empirical likelihood estimation and inference for M-estimator with nonignorable nonresponse. Statistics, to appear. [37] Xiaohong He#(硕士), Yaohong Yang#(硕士) and Lei Wang*. Generalized regression estimators for average treatment effect with multicollinearity in high-dimensional covariates. Journal of Nonparametric Statistics, to appear. [36] Wei Ma#(博士), Ting Zhang and Lei Wang*. Improved multiple quantile regression estimation with nonignorable dropouts. Journal of the Korean Statistical Society, to appear. [35] Fengrui Di#(硕士) and Lei Wang*. Multi-round smoothed composite quantile regression for distributed data, Annals of the Institute of Statistical Mathematics, to appear. [34] Wei Ma#(博士) and Lei Wang*. Improved smoothing quantile regression estimation and variable selection with nonignorable dropouts. Analysis and Applications, to appear. [33] Yujing Shao#(博士) and Lei Wang*. Optimal subsampling for composite quantile regression model in massive data. Statistical Papers,to appear. [32] Ting Zhang#(博士) and Lei Wang*. Smoothed partially linear quantile regression with nonignorable missing response. Journal of the Korean Statistical Society, to appear. [31] Xiaohong He#(硕士) and Lei Wang*. Ensemble and calibration multiply robust estimation for quantile treatment effect. Journal of Applied Statistics, to appear. [30] Yujing Shao#(博士) and Lei Wang*. Generalized partial linear models with nonignorable dropouts. Metrika, to appear. [29] Dongyu Li#(硕士) and Lei Wang*. Improved kth power expectile regression with nonignorable dropouts. Journal of Applied Statistics, to appear. [28] Wei Ma#(博士) and Lei Wang*. Improved composite quantile regression and variable selection with nonignorable dropouts. Random Matrices: Theory and Applications, to appear. [27] Lei Wang*. Identifiability and estimation of two-sample data with nonignorable missing response. Communications in Statistics – Theory and Methods, to appear. [26] Lei Wang* and Heng Lian. Communication-efficient estimation of high-dimensional quantile regression. Analysis and Applications, to appear. [25] Lei Wang* and Wei Ma#(博士). Improved empirical likelihood inference and variable selection for generalized linear models with longitudinal nonignorable dropouts. Annals of the Institute of Statistical Mathematics, to appear. [24] Feng Guo#(博士), Wei Ma#(博士) and Lei Wang*. Semiparametric estimation in copula models with nonignorable missing data. Journal of Nonparametric Statistics, to appear. [23] Ying Zhang#, Lei Wang*, Menggang Yu and Jun Shao. Quantile treatment effect estimation with many possible confounders. Statistical Theory and Related Fields, to appear. [22] Lei Wang, Siying Sun#(博士) and Zheng Xia#. An efficient multiple imputation approach for estimating equations with response missing at random. Journal of Systems Science and Complexity, to appear. [21] Jun Shao and Lei Wang*. (2019) Nearest neighbor imputation under single index models. Statistical Theory and Related Fields, 3 (2): 208-212. [20] Lei Wang*. (2019) Multiple robustness estimation in causal inference. Communications in Statistics–Theory and Methods, 48 (23): 5701-5718. [19] Lei Wang*. (2019) Dimension reduction for kernel-assisted M-estimators with missing response at random. Annals of the Institute of Statistical Mathematics, 71 (4): 889-910. [18] Lei Wang, Cuicui Qi# and Jun Shao*. (2019) Model-assisted regression estimators for longitudinal data with nonignorable dropout. International Statistical Review, 87 (S1): S121-S138. [17] Lei Wang* (2018) Some issues on longitudinal data with nonignorable dropout, a discussion of ``Statistical Inference for Nonignorable Missing-Data Problems: A Selective Review'' by Niansheng Tang and Yuanyuan Ju. Statistical Theory and Related Fields, 2 (2): 137-139. [16] Lei Wang* and Dan Yang#. (2018) F-distribution calibrated empirical likelihood ratio tests for FDR control in multiple hypothesis testing. Journal of Nonparametric Statistics, 30 (3): 662-679. [15] Ying Zhang#, Menggang Yu, Jun Shao and Lei Wang* . (2018) Impact of sufficient dimension reduction in nonparametric estimation of causal effect. Statistical Theory and Related Fields, 2 (1): 89-95. [14] Ying Zhang# and Lei Wang*.（2018） Dimension reduction in estimating equations with covariates missing at random. Journal of Nonparametric Statistics, 30 (2): 491-504. [13] Puying Zhao, Lei Wang* and Jun Shao.（2018）Analysis of longitudinal data under nonignorable nonmomotone nonresponse. Statistics and Its Interface, 11 (2): 265-279. (共同第一作者). [12] Lei Wang*.(2017) Bartlett-corrected two-sample adjusted empirical likelihood via resampling. Communications in Statistics-Theory and Methods, 46(22):10941-10952 . [11] Lei Wang and Guangming Deng. (2017) Dimension-reduced empirical likelihood inference for response mean with data missing at random. Journal of Nonparametric Statistics, 29 (3): 594-614. [10] Dongdong Xiang, Yan Li, Lei Wang and Xiaolong Pu*. (2016) Double stepwise likelihood ratio test for onesided composite Hypotheses. Quality Technology and Quantitative Management, 13 (3): 355-366. [9] Lei Wang, Jiahua Chen* and Xiaolong Pu. (2015) Resampling calibrated adjusted empirical likelihood. Canadian Journal of Statistics , 43 (1): 42-59. [8] Lei Wang*, Wendong Li, Guanfu Liu and Xiaolong Pu. (2015) Spatial median depth-based robust adjusted empirical likelihood. Journal of Nonparametric Statistics, 27 (4): 485-502. [7] Lei Wang*, Xiaolong Pu and Yan Li. (2015) Asymptotic optimality of combined double sequential weighted probability ratio test for three composite hypotheses. Mathematical Problems in Engineering, 2015: 1-8. [6] Lei Wang, Xiaolong Pu, Yan Li and Yukun Liu*. (2015) Sequential two-stage D-optimality sensitivity test for binary response data. Communications in Statistics-Simulation and Computation , 44 (7):1833-1849. [5] Guanfu Liu, Xiaolong Pu, Lei Wang and Dongdong Xiang*. (2015) CUSUM chart for detecting range shifts when monotonicity of likelihood ratio is invalid. Journal of Applied Statistics , 42 (8): 1635-1644. [4] Lei Wang, Xiaolong Pu, Donddong Xiang and Yan Li*. (2014) Asymptotic optimality of double sequential mixture likelihood ratio test. Journal of Statistical Computation and Simulation , 84 (4): 916-929. [3] Lei Wang, Yukun Liu, Wei Wu and Xiaolong Pu*.(2013) Sequential LND sensitivity test for binary response data. Journal of Applied Statistics, 40 (11): 2372-2384. [2] Lei Wang, Donddong Xiang, Xiaolong Pu and Yan Li*. (2013) A double sequential weighted probability ratio test for one-sided composite hypotheses. Communications in Statistics-Theory and Methods, 42 (20): 3678-3695. [1] Dongdong Xiang, Xiaolong Pu, Lei Wang and Yan Li*.(2012) Degenerate-generalized likelihood ratio test for one-sided composite hypotheses. Mathematical Problems in Engineering , Volume 2012 (2012): 1–11. |
主持3项国家自科学基金（面上项目2项和青年项目1项）和1项天津市自然科学基金项目。现任中国场统计研究会生存分析分会副秘书长，Journal of Nonparametric StatisticsAssociate Editor，泛华统计协会永久会员
