个人简介
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
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。
2022.1-2026.12 参与国家自然科学基金重点项目: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
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),52万元;主持
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),60万元;主持
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),22万元;主持
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),200万, 参与
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),53万元;参与
研究领域
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
近期论文
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Junlong Zhao, Yang Zhou, Yufeng Liu (2023) Estimation of Linear Functionals in High Dimensional Linear Models: From Sparsity to Non-sparsity. Journal of American Statistical Association (open access) https://www.tandfonline.com/doi/full/10.1080/01621459.2023.2206084
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. doi.org/10.1007 /s11749 -023-00852-3
Junlong Zhao, Xiumin Li, Hansheng Wang, Chenlei Leng (2022) Dimension reduction for covariates in network data. Biometrika. 109(1),85-102. (open access) https://academic.oup.com/biomet/article/109/1/85/6131676
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
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 (open access) https://academic.oup.com/jrsssb/article/81/2/385/7048428
Junlong Zhao, Guan Yu, Yufeng Liu, (2018) Assecing the robustness of classification in angular breakdown point. The Annals of Statistics. 46, 3362–3389.
Junlong Zhao, Chenlei Leng, Lexin Li, Hansheng Wang (2013). High dimensional influence measure. The Annals of Statistics 41(5), 2639-2667.
Mengyu Li, Junlong Zhao* (2022) Communication-Efficient Distributed Linear Discriminant Analysis for Binary Classification. Statistica Sinica, 32(3), 1-19
Yiwei Fan, Junlong Zhao*,(2022) Safe sample screening rules for multicategory angle-based support vector machines, Computational Statistics & Data Analysis, 173,107508,
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.
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
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
Lu Niu, Junlong Zhao* (2019) High dimensional semiparametric estimate of latent covariance matrix for matrix-variate. Statistica Sinica,29,1535-1559.
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.
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.
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.
Xuehu Zhu, Tao Wang, Junlong Zhao, Lixing Zhu(2017)Inference for biased tranformation models,Computational Statistic&Data Analysis.109, 105-120.
Junlong Zhao, Chenlei Leng (2016). An analysis on penalized interaction model. Bernoulli, 22(3), 1937–1961.
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.
Junlong Zhao, Chenlei Leng, (2014). Structured Lasso with matrix covariates in regression. Statistica Sinica. 24, 799-814.
Junlong Zhao (2013). Asymptotic convergence of dimension reduction based boosting in classification. Journal of Statistical Planning and Inference 143, 651–662.
学术兼职
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
美国数学评论(Math review) 评论员
众多国际国内期刊审稿人