赵俊龙

一、工作和教育经历

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

2016.1—至今       副教授        北京师范大学

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

二、研究方向

高维数据分析、统计学习

三、发表或完成论文

在The Annals of Statistics, Journal of the Royal Statistical Society: Series B, Statistic Sinica, Statistics and computing, Bernoulli, Computations statistic& data analysis，等期刊发表论文近三十余篇。

• 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. https://rss.onlinelibrary.wiley.com/doi/10.1111/rssb.12311
• Lu Niu, Junlong Zhao* (2019) High dimensional semiparametric estimate of latent covariance matrix for matrix-variate. Statistica Sinica (In press)
• 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, Hongyu Zhao, Lixing Zhu (2018) Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models. Statistics and Computing. Vol.28(4), pp.775-793.
• Lan Wei, Yingying Ma, Junlong Zhao, Hansheng Wang, Thai-Chi Ling(2018), Sequential model averaging forhigh 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.
• Xiaoling Lv, Junlong zhao, Yu Chen, Hansheng, Wang. (2016) A choice model with a diverging choice set for POI data analysis. Statistics and Its Interface, 9, 355–363.
• 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.
• Xuhua Liu, Junlong Zhao, Na Li, (2016)  A confidence distribution approach to inferring the among-group variance component in one-way random effects model with unequal error variances, Journal of Statistical Planning and Inference, 2016, (171), 79-91.
• Junlong Zhao (2015).  General sparse boosting: improving the feature selection of L2boosting.  Communication in statistics--computation and simulation, 44, 1612-1640.
• Junlong Zhao, Chenlei Leng, (2014). Structured Lasso with matrix covariates in regression. Statistic Sinica.  24, 799-814.
• Junlong Zhao, Chenlei Leng, Lexin Li, Hansheng Wang (2013). High dimensional influence measure. The Annals of Statistics 41(5), 2639-2667.
• Junlong Zhao (2013). Asymptotic convergence of dimension reduction based boosting in classification. Journal of Statistical Planning and Inference 143, 651–662.
• Junlong Zhao, (2012). Modeling by combining dimension reduction and L2boosting, Lecture Notes in Computer Science, 7389, 230--235.
• Junlong Zhao, Yuliang Yin, Xingzhong Xu, (2012). Penalized weighted variance estimate for dimension reduction, Communication in statistics--Theory and Method. 41(3),453-473.
• Junlong Zhao, Xiuli Zhao, (2010). Dimension reduction using generalized gradient direction. Computational Statistics and Data Analysis 54, 1089—1102.
• Junlong Zhao, Xu Xingzhong, (2009). Dimension reduction based on weighted     variance estimate. Science in China: Series A Mathematics, 52(3) ,539-560 .
• Jianjun Ma, Xingzhong Xu, Junlong Zhao, (2008).  Inverse regression in  Binary Response LDV Model. Communications in Statistics--Theory and  Methods. 37, 233--246.
  

四、主持和参与研究项目

主持各类项目多项。其中国家自然科学基金面上项目2项，自然科学基金青年基金1项，数学天元基金1项，教育部人文社科基金1项，中央高校基本科研业务费4项。

1. 2015.1—2018.12 主持国家自然科学基金”面上项目， 高维复杂结构数据降维" （编号11471013）

2. 2019.1—2022.12 主持国家自然科学基金”面上项目：融合结构信息的高维数据稳健方法（编号11871040）

3. 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）

4. 2011年 主持国家自然科学基金数学天元基金项目“基于充分降维方法的分层变量选择”（编号11026049）

5. 2011.1-2013.12 主持教育部人文社科基金项目“高维数据中的分层变量选择 ”（编号10YJC910013）；

五、所获奖励

  1. 2011年获得北京航空航天大学“蓝天科研新星”

  2. 2010年获北京航空航天大学优秀班主任

六、联系方式

电子邮件：zhaojunlong928@126.com

通讯地址：北京师范大学统计学院（100875）