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钟琰

职称: 助理教授

直属机构: 经济与管理学部

学科:

相关教师

个人资料

  • 部门: 经济与管理学部
  • 性别:
  • 专业技术职务:
  • 毕业院校: 美国德州农工大学(Texa A&M University)
  • 学位: 博士
  • 学历: 博士
  • 联系电话:
  • 电子邮箱: yzhong@fem.ecnu.edu.cn
  • 办公地址: 中北校区理科大楼A1508b室
  • 通讯地址: 上海市普陀区中山北路3663号华东师范大学经济与管理学部统计学院
  • 邮编: 200062
  • 传真:

教育经历


2021 美国德州农工大学(Texas A&M University),统计学院,博士

2017 中国人民大学,统计学院,硕士

2014 中国人民大学,统计学院,本科


工作经历

2021.6 至今, 华东师范大学,统计学院,助理教授


个人简介

统计学博士,华东师范大学助理教授。


社会兼职

暂无


研究方向

机器学习、统计计算、网络数据分析、以及统计与生物学、流行病学等学科的交叉研究。

招生与培养

开授课程

统计学习上(学硕、博士生,专业选修)2022春、2023春、2024春

统计机器学习(学硕校选)2023春、2024春

多元统计模型 (本科生,专业必修) 2022秋、2023秋

科研项目

主持:

1、国家自然科学基金青年项目《去中心化分布式计算中数据异质性的非监督统计模型研究》, 2024.1-2026.12



参与:

1、国家重点研发计划《油气管网安全运维的大数据分析理论、算法及应用》,课题一, 2021.12-2026.11

2、国家重点研发计划《非独立同分布大数据统计基础理论、方法与应用》,课题三, 2023.12-2028.11

3、国家自然科学基金重点项目《大数据背景下不完全数据的统计分析方法、理论和应用》,2024.1-2028.12

4、国家自然科学基金面上项目《复杂计算机试验的设计与相关大数据子抽样方法研究》,2023.1-2026.12

5、上海市“科技创新行动”基础研究领域项目《大数据背景下航空安全管理中的关键数理问题研究》, 2022.7-2025.6


人才计划:

2023年上海海外领军人才(青年)

学术成果

*通讯作者,共同一作

 

机器学习、统计计算:

 

Zhong, Yan*, Kejun He, and Gefei Li. Reduced-Rank Clustered Coefficient Regression for Addressing Multicollinearity in Heterogeneous Coefficient Estimation. Biometrics (2024+), Accepted.

 

Zhong, Yan*, Huiyan Sang, Scott J. Cook, and Paul M. Kellstedt. Sparse spatially clustered coefficient model via adaptive regularization. Computational Statistics & Data Analysis 177 (2023): 107581.

 

Zhong, Yan*, and Jianhua Z. Huang. Biclustering via structured regularized matrix decomposition. Statistics and Computing 32, no. 3 (2022): 37.

 

Zhong, Yan*, Xiao Huang, Jundong Li, and Xia Hu. Scalable social tie strength measuring. In 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 288-295. IEEE, 2020.

 

Chang, Xiangyu, Yan Zhong, Yao Wang*, and Shaobo Lin. Unified low-rank matrix estimate via penalized matrix least squares approximation. IEEE Transactions on Neural Networks and Learning Systems 30, no. 2 (2018): 474-485.

 

 

生物信息:

 

Zhong, Yan*, Siwei Cui, Yongjian Yang, and James J. Cai*. Controlled Noise: Evidence of Epigenetic Regulation of Single-Cell Expression Variability. Bioinformatics 40, no. 7 (2024): btae457.

 

Yang, Yongjian, Guanxun Li, Yan Zhong, Qian Xu, Yu-Te Lin, Cristhian Roman-Vicharra, Robert S. Chapkin*, and James J. Cai*. scTenifoldXct: a semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs. Cell systems 14, no. 4 (2023): 302-311.

 

Yang, Yongjian*, Guanxun Li, Yan Zhong, Qian Xu, Bo-Jia Chen, Yu-Te Lin, Robert S. Chapkin, and James J. Cai. Gene knockout inference with variational graph autoencoder learning single-cell gene regulatory networks. Nucleic Acids Research 51, no. 13 (2023): 6578-6592.

 

Yang, Yongjian*, Yu-Te Lin, Guanxun Li, Yan Zhong, Qian Xu, and James J. Cai. Interpretable modeling of time-resolved single-cell gene–protein expression with CrossmodalNet. Briefings in Bioinformatics 24, no. 6 (2023): bbad342.

 

Osorio, Daniel, Yan Zhong, Guanxun Li, Qian Xu, Yongjian Yang, Yanan Tian, Robert S. Chapkin, Jianhua Z. Huang*, and James J. Cai*. scTenifoldKnk: an efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation. Patterns 3, no. 3 (2022).

 

Xu, Qian, Guanxun Li, Daniel Osorio, Yan Zhong, Yongjian Yang, Yu-Te Lin, Xiuren Zhang, and James J. Cai*. scInTime: a computational method leveraging single-cell trajectory and gene regulatory networks to identify master regulators of cellular differentiation. Genes 13, no. 2 (2022): 371.

 

Osorio, Daniel, Yan Zhong, Guanxun Li, Jianhua Z. Huang*, and James J. Cai*. scTenifoldNet: a machine learning workflow for constructing and comparing transcriptome-wide gene regulatory networks from single-cell data. Patterns 1, no. 9 (2020).

 

Osorio, Daniel, Xue Yu, Yan Zhong, Guanxun Li, Erchin Serpedin, Jianhua Z. Huang*, and James J. Cai*. Single-cell expression variability implies cell function. Cells 9, no. 1 (2019): 14.

 

 

统计学应用:

Zhong, Yan*, Tong Liu, Fang Fang, Jia Ge, Bohao Xu, and Xinbin Zhao. Hard Landing Pattern Recognition and Precaution With QAR Data by Functional Data Analysis. IEEE Transactions on Aerospace and Electronic Systems (2024), Early Access

 

Zhang, Xiao, Yan Zhong, Farid Saad, Karim Sultan Haider, Ahmad Haider, Angela G. Clendenin, and Xiaohui Xu*. Testosterone therapy may reduce prostate cancer risk due to testosterone deficiency at a young age via stabilizing serum testosterone levels. The Aging Male 23, no. 2 (2020): 112-118.

 

Zhang, Xiao, Yan Zhong, Farid Saad, Karim Haider, Ahmad Haider, and Xiaohui Xu*. Clinically occult prostate cancer cases may distort the effect of testosterone replacement therapy on risk of PCa. World Journal of Urology 37 (2019): 2091-2097.

 

Zhang, Xiao, Xiaohui Xu*, Yan Zhong, Melinda C. Power, Brandie D. Taylor, and Genny Carrillo. Serum folate levels and urinary arsenic methylation profiles in the US population: NHANES, 2003–2012. Journal of Exposure Science & Environmental Epidemiology 29, no. 3 (2019): 323-334.

 

Lu, Xiaoling*, Bharatendra Rai, Yan Zhong, and Yuzhu Li. Cluster-based smartphone predictive analytics for application usage and next location prediction. International Journal of Business Intelligence Research (IJBIR) 9, no. 2 (2018): 64-80.

 

Xu, Xiaohui*, Xiao Zhang, Yan Zhong, Farid Saad, Maria J. Perez-Patron, Karim Haider, and Ahmad Haider. Dynamic patterns of testosterone levels in individuals and risk of prostate cancer among hypogonadal men: a longitudinal study. The Journal of Urology 199, no. 2 (2018): 465-473.

 

 

R package

scTenifoldNet: https://cran.r-project.org/web/packages/scTenifoldNet/index.html

scTenifoldKnk: https://cran.r-project.org/web/packages/scTenifoldKnk/index.html

BCEL: https://github.com/yanzhong07/BCEL

RSCC: https://github.com/yanzhong07/RSCC

RRCCR: https://github.com/yanzhong07/RRCCR

 


荣誉及奖励

暂无。