北京师范大学统计学院教授、博士生导师，应用统计系主任。

一、工作和教育经历

2019.7--至今 教授 北京师范大学统计学院

2016.1—2019.6 副教授 北京师范大学统计学院

2007.5—2015.12 副教授、讲师 北京航空航天大学数学与系统科学学院

2004.3--2007.3 博士 北京理工大学数学系

2014.3—2015.3 访问学者 北卡罗来纳大学教堂山分校

2013.7—2013.9 访问学者 香港浸会大学

2011.3—2011.9 访问学者 新加坡国立大学

二、科研工作

从事数理统计和机器学习相关研究，包括：高维数据分析、统计机器学习、稳健统计等。 在统计学各类期刊发表SCI论文五十余篇，部分结果发表在统计学国际顶级期刊Journal of the Royal Statistical Society: Series B（JRSSB）、 The Annals of Statistics（AOS）、Journal of American Statistical Association(JASA)，Biometrika；以及Journal of Business and Economic Statistics, Statistica Sinica, Statistics and Computing, Bernoulli，Computations Statistic&Data Analysis等知名期刊。

部分论文列表如下(加*为通讯作者)：

[1] Jose. S G, Weibin Mo, Junlong Zhao*, Yufeng Liu* (2025) Hub Detection in Gaussian Graphical Models. Journal of American Statistical Association

[2] Junlong Zhao, Xiumin Liu, Bin Du, Yufeng Liu (2024). Approximation error from discretizations and it applications. The Annals of Statistics.

[3] Zhonghan Wang, Junlong Zhao* (2024). Group Sparse β-Model for Network. Journal of Business & Economic Statistics.

[4] Junlong Zhao, Yang Zhou, Yufeng Liu (2024) Estimation of Linear Functionals in High Dimensional Linear Models: From Sparsity to Non-sparsity. Journal of American Statistical Association, 119(546),1579-1591.

[5] Junlong Zhao, Xiumin Li, Hansheng Wang, Chenlei Leng (2022) Dimension reduction for covariates in network data. Biometrika. 109(1),85-102.

[6] Yiwei Fan, Xiaoling Lu, Yufeng Liu, Junlong Zhao*(2022) Angle-based hierarchical classification using exact label embedding. Journal of American Statistical Association 117:538, 704-717

[7] Junlong Zhao, Chao Liu, Lu Niu, Chenlei Leng, (2019) Multiple influential point detection in high dimensional regression spaces, Journal of the Royal Statistical Society: Series B. 81(2), 385–408

[8] Junlong Zhao, Guan Yu, Yufeng Liu, (2018) Assecing the robustness of classification in angular breakdown point. The Annals of Statistics. 46, 3362–3389.

[9] Junlong Zhao, Chenlei Leng, Lexin Li, Hansheng Wang (2013). High dimensional influence measure. The Annals of Statistics 41(5), 2639-2667.

[10] Bin Du Xiumin Liu · Junlong Zhao*(2024) Extended Hotelling T2 test in distributed frameworks. TEST.

[11] Zhang Xin, Junlong Zhao* (2024) Group variable selection via group sparse neural network (2024). Computational Statistics& Data Analysis. 107911

[12] Xiumin Liu, Lu Niu, Junlong Zhao*(2023) Statistical inference on the significance of rows and columns for matrix-valued data in an additive model. TEST. 32, 785–828

[13] Ji, Fangting, Xin Zhang, and Junlong Zhao*(2023). α-EGAN: α-Energy distance GAN with an early stopping rule. Computer Vision and Image Understanding.103748.

[14] Mengyu Li, Junlong Zhao* (2022) Communication-Efficient Distributed Linear Discriminant Analysis for Binary Classification. Statistica Sinica, 32(3), 1-19

[15] Yiwei Fan, Junlong Zhao*,(2022) Safe sample screening rules for multicategory angle-based support vector machines, Computational Statistics & Data Analysis, 173,107508,

[16] Fan, Y., Lu, X., Zhao, J., Fu, H., & Liu, Y. (2022). Estimating individualized treatment rules for treatments with hierarchical structure. Electronic Journal of Statistics, 16(1), 737-784.

[17] Xin Zhang, Junlong Zhao & Chunlei Zhang (2021) Spatial correlation filter and its application in hyperspectral ground objects recognition, International Journal of Remote Sensing, 42:18, 7053-7074

[18] Lu Niu, Xiumin Liu, Junlong Zhao* (2020) Robust estimator of the correlation matrix with sparse Kronecker structure for a high-dimensional matrix-variate. Journal of Multivariate Analysis. 177: 104598

[19] Lu Niu, Junlong Zhao* (2019) High dimensional semiparametric estimate of latent covariance matrix for matrix-variate. Statistica Sinica，29,1535-1559.

[20] Junlong Zhao, Hongyu Zhao, Lixing Zhu (2018) Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models. Statistics and Computing. 28(4), 775-793.

[21] Lan Wei, Yingying Ma, Junlong Zhao, Hansheng Wang, Thai-Chi Ling(2018), Sequential model averaging for high dimensional linear regression models. Statistica Sinica, 28, 449-469.

[22] Junlong Zhao, Lu Niu, Shushi Zhan.(2017) Trace regression model with simultaneously low rank and row (column) sparse parameter. Computational Statistics & Data Analysis, 116,1-17.

[23] Junlong Zhao, Chenlei Leng (2016). An analysis on penalized interaction model. Bernoulli, 22(3), 1937–1961.

[24] Lele Huang, Junlong Zhao*, Huiwen Wang, Siyang Wang. (2016) Robust Shrinkage Estimation and Selection for Functional Multiple Linear Model Through LAD Loss. Computational statistics & data analysis.103, 384-400.

[25] Junlong Zhao, Chenlei Leng, (2014). Structured Lasso with matrix covariates in regression. Statistica Sinica. 24, 799-814.

三、主持研究项目

主持多项国家自然科学基金面上项目，自然科学基金青年基金项目，教育部人文社科基金,参与国家自然基金重点项目等。

[1]. 2024.1-2027.12 国家自然科学基金项目面上项目：张量数据稳健估计和假设检验中的若干问题，编号12371288， 主持

[2]. 2019.1-2022.12，国家自然科学基金面上项目：融合结构信息的高维数据稳健方法，编号11871104，主持

[3]. 2015.1—2018.12，国家自然科学基金面上项目：高维复杂结构数据降维，编号11471030，主持

[4]. 2012.1—2014.12 主持，国家自然科学基金青年基金：高维数据降维和变量选择的若干稳健降维方法研究，编号11101022，主持

[5]. 2022.01-2026.12国家自然基金重点项目：因果分析的若干统计学基础问题的研究及其应用,编号：12131006, 参与

[6]. 2015.1-2018.12，国家自然科学基金面上项目：实时流数据变系数多分类模型研究 编号：61472475，参与

四、社会工作

中国现场统计学会高维数据分会理事，北京应用统计学会理事、北京大数据学会常务理事等

众多国际国内期刊审稿人