一、教育背景：

厦门大学与香港城市大学双博士。

二、研究方向：

因果推断、图模型、高维统计、极值统计。

三、 教授课程：

回归分析与因果推断、机器学习与数据挖掘

四、 代表性成果：

[1] Wei Zhou, Xin He, Wei Zhong, Junhui Wang. (2022). Efficient learning of quadratic variance function directed acyclic graphs via topological layers, Journal of Computational and Graphical Statistics: 31, 1269-1279.

[2] Wei Zhong, Wei Zhou, Qingliang Fan, Yang Gao. (2022). Dummy endogenous treatment effect estimation using high‐dimensional instrumental variables, Canadian Journal of Statistics: 50, 795-819.

[3] Wei Zhong, Yang Gao, Wei Zhou, Qingliang Fan. (2021). Endogenous treatment effect estimation using high-dimensional instruments and double selection. Statistics and Probability Letters: 169, 108967.

[4] Wei Zhou and Zuoxiang Peng. (2017). Asymptotic behavior of bivariate Gaussian powered extremes. Journal of Mathematical Analysis and Applications: 455, 923-938.

[5] Wei Zhou and Chengxiu Ling. (2016). Higher-order expansions of powered extremes of normal samples. Statistics and Probability Letters: 111, 12-17.

[6] Xi Peng, Wei Zhou, and Zuoxiang Peng. (2019). Conditional moment characterization of limit distributions under power normalization. Journal of Southwest University (Natural Science Edition): 41, 78-83. (In Chinese)