郑思明助理教授
办公地址:
邮箱:simizheng4-c@my.cityu.edu.hk
基本信息

郑思明,必威betway西汉姆助理教授。2019年-2021年毕业于香港城市大学,获得管理科学博士学位。2016年-2021年毕业于中国科学院大学,获得统计学博士学位。2012年-2016年毕业于华南理工大学,获得数学与应用数学学士学位。2025年-2026年在新加坡国立大学,担任Research Fellow职位。2023年-2025年在耶鲁大学,担任博士后研究员职位。2021年-2023年在香港中文大学,担任博士后研究员职位。

Siming Zheng is an Assistant Professor at the School of Statistics and Data Science, Southeast University. He graduated from City University of Hong Kong with a Doctoral Degree in Management Science between 2019 and 2021, and from the University of Chinese Academy of Sciences with a Doctoral Degree in Statistics between 2016 and 2021. He obtained a Bachelor's Degree in Mathematics and Applied Mathematics from South China University of Technology between 2012 and 2016. He served as a Research Fellow at the National University of Singapore from 2025 to 2026, as a Postdoctoral Research Fellow at Yale University from 2023 to 2025, and as a Postdoctoral Research Fellow at The Chinese University of Hong Kong from 2021 to 2023.

研究领域

主要研究领域为机器学习与深度学习及其数学基础,包括但不限于生成学习理论及其在统计问题中的应用,基于深度学习的统计学习与风险管理方法,Transformer的统计理论与应用。

奖励与荣誉
项目经历

国家自然科学基金重点项目“经济管理中复杂数据和复杂行为的分析方法及其应用”(71931004),2019-2024(参与)

代表论文成果

[1]Zhihuang Yang, Siming Zheng*and Niansheng Tang (2025+). Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks. Journal of Computational and Graphical Statistics, in press.

[2]Dongxiao Han#, Siming Zheng#, Guohao Shen, Xinyuan Song, Jian Huang and Liuquan Sun* (2025). Deep Mutual Density Ratio Estimation with Bregman Divergence and Its Applications. Journal of the American Statistical Association, 120(551), 1990-2001.

[3]Zhihuang Yang,Siming Zhengand Niansheng Tang* (2025). Efficient Estimation of Single-index Models with Deep ReQU Neural Networks. Acta Mathematica Sinica, English Series, 41, 640–676.

[4]Siming Zheng, Alan T.K. Wan* and Yong Zhou (2024). Semiparametric Recovery of Central Dimension Reduction Space with Nonignorable Nonresponse. Statistica Neerlandica, 78(2), 374–396.

[5]Siming Zheng, Alan T.K. Wan and Yong Zhou* (2023). Missing Data Analysis with Sufficient Dimension Reduction. The Canadian Journal of Statistics, 51(2), 630-651.

[6]Siming Zheng, Juan Zhang and Yong Zhou* (2023). Likelihood Identifiability and Parameter Estimation with Nonignorable Covariate Missing Data. The Canadian Journal of Statistics, 51(4), 1190-1209.

[7]Siming Zheng, Jing Qin and Yong Zhou* (2021). Effect Assessment of Age and Gender on the Incubation Period of COVID-19 with Mixture Regression Model. Journal of Data Science, 19(2), 253-268.

大会报告
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