姓　　名：贺莘
职　　称：助教授/讲师
研究方向：统计机器学习
教授课程：无
E - mail：he.xin17@mail.shufe.edu.cn；电话：

研究项目

序号
项目名称
项目编号
项目来源
起止时间
项目经费

1
基于再生核希尔伯特空间的变量选择及其相关问题研究
**
国家自然科学基金青年项目
2020.01-2022.12
25万

2
半参数估计与高维变量筛选在金融风险量化与家系遗传性研究中的应
2019PJC051
上海市浦江人
才计划团队项目
2019.11 -2021.10
50万


研究领域
统计机器学习

教育经历
2014-2018
香港城市大学，数学系，香港，博士
2013-2014
香港大学，统计与精算学系，香港，硕士（优异荣誉)
2009-2013
山东大学，数学学院，济南，学士
工作经历
2018--至今，上海财经大学，统计与管理学院，助理教授。
研究成果

1.He, X., Wang, J. and Lv, S. (2020+). Efficient kernel-based variable selection with sparsistency. 接收于
Statistica Sinica.
2.He, X., Lv, S. and Wang, J. (2020+). Variable selection for classification with derivative-induced regularization.接收于 Statistica Sinica.
3.Xia, Y., Hou, Y, He, X, and Lv, S (2020+). Learning rates for partially linear functional models with high
dimensional scalar covariates. 接收于 Communications on Pure and Applied Analysis.
4.He, X. and Wang, J. (2020). Discovering model structure for partially linear models. Annals of the InstituteofStatistical Mathematics, 72, 45–63.
5.He, X, Xu, S. and Wang, J. (2019). Discussion on ”Entropy Learning for Dynamic Treatment Regimes”. Statistica Sinica, 29, 1658–1662.
6.Zhang, B., Tian, J., Pei, S., Chen, Y., He, X 等. (2019). Machine Learning-Assisted System for Thyroid NoduleDiagnosis. Thyroid, 29, 858–867. (共同一作)
7.He, X., Wang, J. and Lv, S. (2018). Gradient-induced model-free variable selection with composite quantileregression. Statistica Sinica, 28, 1521-1538.
8.Zhang, B., He, X., 等 (2017). Radiomic machine-learning classifiers for prognostic biomarkers of advancednasopharyngeal Carcinoma. Cancer letters, 403, 21-27. (共同一作)
9.Lv, S., He, X. and Wang, J. (2016). A unified penalized method for sparse additive quantile models: a RKHSapproach. Annals of the Institute of Statistical Mathematics，69, 897-923.

奖励，荣誉
The Outstanding Academic Performance Award for Research Degree Student. CityU, HK. 2017.
Lifelong Learning Prizes in Statistics, HKU, 2014.
社会工作

学术报告（2008年以来）
2018. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018). Pisa， Invited Talk.
2018。 The fifth meeting of the Institute of Mathematical Statistics meeting series, the IMS Asia Pacific Rim Meeting, Singapore. Invited Talk.
2017。1st International Conference on Econometrics and Statistics (EcoSta 2017), Hong Kong. Invited Talk.