教师队伍

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张景肖

职 称: 教授


职 务: 无


电子邮箱: zhjxiao@ruc.edu.cn

工作经历

• 2005.8-2008.8 中国人民大学统计学院, 讲师

 • 2008.9-2013.8 中国人民大学统计学院, 副教授

 • 2013.9- 中国人民大学统计学院, 教授


兼任职务

中国现场统计研究会生物医学统计学会秘书长,常务理事 

北京生物医学统计与数据管理研究会副理事长


基金项目

• 基于多模态数据构建心脏骤停患者神经功能预后预测模型研究 子课题 (国家自然科学基金项目)2023-2026

• 基于高维网络数据模型的重大传染病传播研究与防控政策评价(全国统计科学研究重大项目)2020-2022 

• 中药上市后临床研究共性技术及方法技术体系研究(科技部重点研发计划项目子课题)2018-2022 

• 多源复杂医学数据的分析方法研究 (中国人民大学统计学院团队孵化项目)2019-2023


开设课程

本科:统计学,实变函数

研究生:随机过程,主文献研读


研究方向

函数型数据,多模态数据融合分析,生物医学数据


论文成果

37,Zishu Zhan, Xiangjie Li, Jingxiao Zhang,Partial replacement imputation estimation for partially linear models with complex missing pattern covariates,Statistics and Computing (2023, 33:88)

36,Rou Zhong , Chunming Zhang , Jingxiao Zhang,LOCALLY SPARSE ESTIMATOR OF GENERALIZED VARYING COEFFICIENT MODEL FOR ASYNCHRONOUS LONGITUDINAL DATA,Statistica Sinica(2023 accepted)

35, Xiaokang Yu, Xinyi Xu , Jingxiao Zhang , Xiangjie Li, Batch alignment of single-cell transcriptomics data using deep metric learning,Nature Communications (2023 )

34,Rou Zhong , Shishi Liu , Haocheng Li , Jingxiao Zhang,Sparse logistic functional principal component analysis for binary data,Statistics and Computing (2023, 33:15)

33,Xinyi Xu, Xiaokang Yu, Gang Hu, Kui Wang, Jingxiao Zhang and Xiangjie Li, nsity score matching enables batch-effectcorrected imputation in single-cell RNA-seq analysis,Briefings in Bioinformatics(2022, 23(4)) 

32,Rou Zhong , Shishi Liu , Haocheng Li , Jingxiao Zhang,Robust functional principal component analysis for non-Gaussian longitudinal data,Journal of Multivariate Analysis (2022,189)

31Rou Zhong , Shishi Liu , Haocheng Li , Jingxiao Zhang,Functional principal component analysis estimator for non-Gaussian data,JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION(2022)

30,Xiangjie Li, Kui Wang, Yafei Lyu, Huize Pan, Jingxiao Zhang, Dwight Stambolian, Katalin Susztak, Muredach P. Reilly, Gang Hu, Mingyao Li. Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis, Nature Communications (2020 ) 

29,Xiangjie Li,Jingxiao Zhang,Sufficient dimension folding via tensor inverse regression, Journal of Statistical Computation and Simulation (2020 ) 

28,Xinyi Xu, Xiangjie Li, Jingxiao Zhang, Regularization Methods for High-Dimensional Sparse Control Function Models, Journal of Statistical Planning and Inference (2020(206)111-126) 

27, Lei Wang, Xuejun Ma, Jingxiao Zhang, Feature Screening for Ultrahigh-dimensional Additive Logistic Models, Journal of Statistical Planning and Inference (2020(205)306-317) 

26, Shishi Liu, Xiangjie Li, Jingxiao Zhang, Ultrahigh Dimensional Feature Screening for Additive Model with Multivariate Response, Journal of Statistical Computation and Simulation (2020 ) 

25, Xinyi Xu, Jingxiao Zhang, Groupwise sufficient dimension reduction via conditional distance clustering, METRIKA (2019) 

24, Xinyi Xu, Xiangjie Li, Jingxiao Zhang, Sufficient Dimension Reduction and Predicition through Cumulative Slicing PFC, Journal of Statistical Computation and Simulation (2018,88(6),1172-1190) 

23, Xiangjie Li, Xuejun Ma, Jingxiao Zhang, Conditional Quantile Correlation Screening Procedure For Ultrahigh-dimensional Varying Coefficient Models, Journal of Statistical Planning and Inference, (2018) 

22, Xiangjie Li, Lei Wang, Jingxiao Zhang, A model-free feature screening approach based on kernel density estimation, Journal of Statistical Computation and Simulation(2017(87),2450-2468) 

21, Xiangjie Li, Xuejun Ma, Jingxiao Zhang, Robust feature screening for varying coefficient models, METRIKA(2017(80),17-49) 

20, Xuejun Ma,Xin Chen , Jingxiao Zhang, Fast robust feature screening for ultrahigh-dimensional varying coefficient models, Journal of Statistical Computation and Simulation(2017, 87(4),724-732) 

19, Xin Chen, Xuejun Ma, Xueqin Wang, Jingxiao Zhang, Efficient feature screening for ultrahigh-dimensional varying coefficient models, Statistics and its Interface (2017(10),407-412) 

18, Xuejun Ma,Jingxiao Zhang, A new variable selection approach for varying coefficient models, Metrika(2016, Vol. 79(1), page59-72) 

17, Xuejun Ma,Jingxiao Zhang, Robust model-free feature screening via quantile correlation, Journal of Multivariate Analysis(2016,Vol.143,page 472-480) 

16, ShiLong Li, Xia Zhao, Jingxiao Zhang, Fractional Age Assumption Based on Cubic Polynomial Interpolation, Communications in Statistics - Simulation and Computation(2016, Vol,45(4) page: 1173-1186) 

15, Jingxiao Zhang , Kai,Cao, D.Kannan, OPTIMAL PROPORTIONAL REINSURANCE AND INVESTMENT IN JUMP DIFFUSION MARKETS WITH NO SHORT-SELLING AND NO BORROWING, Dynamic Systems and Applications(2015)

14, Lina,Ma, Jingxiao Zhang, D.Kannan,UTILITY INDIFFERENCE PRICING OF REVERSE MORTGAGE, Dynamic Systems and Applications(2013) 

13, Lina,Ma, Jingxiao Zhang, D.Kannan ,UTILITY INDIFFERENCE PRICING OF PRODUCTS, Dynamic Systems and Applications(2013) 

12, Jingxiao Zhang, Flows Associated to Cameron-Martin Type Vector Fields on Path Spaces over a Riemannian Manifold,Acta Mathematica Applicata Sinica, English Series(2013) 

11, Lina,Ma, Jingxiao Zhang, D.Kannan, UTILITY INDIFFERENCE PRICING OF INSURANCE CONTRACTS FOR HOME REVERSION PLAN UNDER STOCHASTIC INTEREST RATE, DYNAMIC SYSTEMS AND APPLICATIONS(2012) 

10, Jingxiao Zhang, Sheng Liu, D.Kannan,Optimal Dividend Problem with the Influence of Dividend Payouts on Insurance Business, Dynamic Systems and Applications,Vol .20(2011)

 9, Jingxiao Zhang, Sheng Liu, D.Kannan, Optimal Investment and Proportional Reinsurance under No Short-selling and No Borrowing,Dynamic Systems and Applications , Vol .20(2011) 

8, Jingxiao Zhang, Sheng Liu, D.Kannan, Optimal Dividend and Reinsurance under Threshold Strategy, Dynamic Systems and Applications, Vol .20(2011) 

7, Chao Yu, Jingxiao Zhang,Bayesian Approach to Markov Switching Stochastic Volatility Model with Jumps, Communication in Statistics—Simulation and Computation (Vol.40,Issue.10,2011)

 6, Lina Ma, Jingxiao Zhang, D.Kannan, A Markov Process Modeling and Analysis of Indifference Pricing of Insurance Contracts for Home Reversion Plan for a Pair of Insures, Stochastic Analysis and Applications, Vol 29,860-880(2011) 

5, Sheng Liu, Jingxiao Zhang, Optimal Investment and Excess of Loss Reinsurance with Short-selling Constraint, Acta Mathematica Applicata Sinica , English Series ,Vol.27,Number 3,527-534,(2011). 

4,D.Kannan, Jingxiao Zhang, Self-Interacting Markov Chains: Some Asymptotics,Stochastic Analysis and Applications, Vol.27,issue 1, 196-219, (2009). 

3,Jingxiao Zhang, D.Kannan, A Girsanov Type Theorem on the Path Space Over a Compact Riemannian Manifold, Stochastic Analysis and Applications, Vol.25, issues 3,667-678, (2007). 

2, Fuzhou Gong, Jingxiao Zhang, Flows Associsted to Adapted Vector Fields on the Wiener Space, Journal of Functional Analysis, Vol. 253, 647—674, {2007). 

1,Bo Zhang, Jingxiao Zhang, D.Kannan,Nonlinear Stochastic Difference Equations Driven by Martingales, Stochastic Analysis and Applications, Vol.23, issues 6, 1277-1304, (2005).


著作成果

1,张波,张景肖编著,应用随机过程, 清华大学出版社 (2004). 

2,张景肖编著,概率论,清华大学出版社(2012)。 

3,张景肖著,随机最优控制及其在保险中的应用(2013). 

4,肖宇谷,张景肖,应用随机过程,高等教育出版社(2016) 

5,肖宇谷,张景肖,寿险随机精算模型,清华大学出版社(2016) 

6,张波,张景肖,肖宇谷,应用随机过程(第二版),清华大学出版社(2019)