钟威

钟威，现任厦门大学王亚南经济研究院、经济学院统计学与数据科学系教授、系主任、博士生导师。2012年获得美国宾夕法尼亚州立大学统计学博士学位，2014年和2017年分别破格晋升副教授和教授，2018年入选厦门大学南强青年拔尖人才A类，国家自然科学基金优秀青年基金获得者（2019），福建省杰出青年基金获得者（2019）。主要从事高维数据统计分析、计量经济学、统计学应用等研究。先后担任美国统计协会(ASA)期刊《Journal of the American Statistical Association》（2023-今）、《Statistical Analysis and Data Mining》（2018-今）和加拿大统计学会期刊《Canadian Journal of Statistics》（2019-2021）等5个期刊的编委（AE），在The Annals of Statistics, Journal of the American Statistical Association, Biometrika, Journal of Econometrics, Journal of Machine Learning Research, Journal of Business & Economic Statistics, Biometrics, Annals of Applied Statistics, Statistica Sinica，中国科学数学等国内外统计学权威期刊发表（含接收）30多篇论文，其中入选ESI前1%高被引论文2篇。获得2016年获得厦门大学第五届英语教学比赛一等奖，2020年获得厦门大学第十五届青年教师技能比赛特等奖, 厦门大学2020年“我最喜爱的十位老师”，2021年获得厦门大学教学创新大赛一等奖，2021年获得福建省向上向善好青年称号，2022年获得霍英东教育基金会高等院校青年科学家二等奖等。

代表性成果论文：

备注：下横线表示指导的学生，*表示通讯作者，#表示共同一作(姓氏字母顺序)

[21] Wei Zhong, Zhouxi Li, Wenwen Guo and Hengjian Cui. (2023+) Semi-Distance Correlation and Its Applications. Journal of the American Statistical Association, forthcoming.

[20] Xiaolong Cui, Lei Shi, Wei Zhong*# and Changliang, Zou. (2023+) Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning. Journal of Machine Learning Research, forthcoming.

[19] Wei Zhong, Chen Qian, Wanjun Liu, Liping Zhu and Runze Li. (2023) Feature Screening for Interval-Valued Response with Application to Study Association between Posted Salary and Required Skills. Journal of the American Statistical Association, 118, 805-817.

[18] Wanjun Liu, Xiufan Yu, Wei Zhong* and Runze Li. (2022+) Projection Test for Mean Vector in High Dimensions. Journal of the American Statistical Association, forthcoming.

[17] Qingliang Fan, Ruike Wu, Yanrong Yang and Wei Zhong#. (2022+) Time-varying Minimum Variance Portfolio. Journal of Econometrics, forthcoming.

[16] Yan Sun, Chuang Wan, Wenyang Zhang and Wei Zhong*#. (2022+) A Multi-Kink Quantile Regression Model with Common Structure for Panel Data Analysis. Journal of Econometrics, forthcoming.

[15] Wei Zhou, Xin He, Wei Zhong and Junhui Wang*. (2022+) Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers. Journal of Computational and Graphical Statistics, 31,1269-1279.

[14] Chuang Wan, Wei Zhong*, Wenyang Zhang and Changliang Zou. (2022+) Multi-Kink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis. Biometrics, forthcoming.

[13] Wei Zhong*, Chuang Wan, Wenyang Zhang. (2021+) Estimation and Inference for Multi-Kink Quantile Regression. Journal of Business & Economic Statistics, forthcoming. [R package: MultiKink]

[12] Wenwen Guo, Wei Zhong*, Sunpeng Duan, Hengjian Cui. (2022) Conditional Test for Ultrahigh Dimensional Linear Regression Coefficients. Statistica Sinica, 32, 1-29.

[11] Wei Zhong, Sunpeng Duan and Liping Zhu* (2020). `Forward Additive Regression for Ultrahigh Dimensional Nonparametric Models. Statistica Sinica, 30, 175-192.

[10] Yaowu Zhang, Wei Zhong# and Liping Zhu* (2020). A Lack-of-fit Test in Sufficient Dimension Reduction of Conditional Mean for Ultrahigh Dimensional Data.  Statistica Sinica, 30, 1971-1993.

[9] Efang Kong, Yingcun Xia* and Wei Zhong*# (2019). Composite Coefficient of Determination and Its Application in Ultrahigh Dimensional Variable Screening. Journal of the American Statistical Association, 114, 1740-1751.

[8] Qingliang Fan* and Wei Zhong#*. (2018) Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective. Journal of Business & Economic Statistics, 36(3), 388-399.  

[7] Hengjian Cui, Wenwen Guo and Wei Zhong#. (2018) Test for High Dimensional Regression Coefficients Using Refitted Cross-validation Variance Estimation. The Annals of Statistics. 46, 958-988.

[6] Liping Zhu, Kai Xu, Runze Li* and Wei Zhong*. (2017) Projection correlation between two random vectors. Biometrika, 104(4), 829-843.

[5] Wei Zhong#, Liping Zhu, Runze Li and Hengjian Cui. (2016) Regularized Quantile Regression and Robust Feature Screening for Single Index Models. Statistica Sinica, 26, 69-95.

[4] Hengjian Cui, Runze Li and Wei Zhong*#. (2015) Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis. Journal of the American Statistical Association, 110, 630-641.

[3] Jiahan Li, Wei Zhong*, Runze Li and Rongling Wu. (2014) A Fast Algorithm for Detecting Gene-Gene Interactions in Genome-Wide Association Studies. Annals of Applied Statistics, 8, 2292-2318.  

[2] Danna Coffman and Wei Zhong. (2012) Assessing Mediation Using Marginal Structural Models in the Presence of Confounding and Moderation. Psychological Methods, 17(4), 642–664.

[1] Runze Li, Wei Zhong*# and Liping Zhu. (2012) Feature Screening via Distance Correlation Learning.Journal of the American Statistical Association, 107, 1129-1139.  

[1] 国家自然科学基金青年项目, 11301435，“超高维数据分析的确定独立扫描方法：统计理论及其应用”，2014-01至2016-12，23万元，结项，负责人。

[2] 国家自然科学基金委员会，面上项目, 11671334，“高维回归系数的假设检验”，2017-01至2020-12，48万元，结项，负责人。

[3] 福建省科技厅，杰出青年基金，2019J06004，“高维数据的统计学习和数学理论”，项目执行时间：2019-01至2021-12，20万元，结项，负责人。

[4] 国家自然科学基金委员会，优秀青年项目, 11922117，“超高维数据的变量筛选和假设检验”，2020-01至2022-12，120万元，结项，负责人。

[5] 国家统计局全国统计科学研究项目，重大项目，2022LD08，“基于统计机器学习的因果推断和政策评估”，2022-08至2024-07,15万元，在研，负责人。

[6] 国家自然科学基金委员会，重点项目, 12231011，“大数据统计推断的稳定化研究”，2023-01至2027-12，60万元/235万元，在研，子课题负责人。

[7] 科技部，国家重点研发计划项目，2022YFA1003802，“数据与机理融合的大数据统计推断” （课题：“数据-机理”融合模型的稳定化推断方法），2022-12至2027-11，294万/1400万，在研，课题负责人。