趙俊龍(北京師範大學教授)

人物經歷

學習經歷

2016.1—至今教授、副教授北騙講估京師範大學統計學院

2007.5—2015.12副譽她譽料教授、講師她剃定北京航空航天大學數學與系統科學學院

2004.3--2007.3博士北京理工大學數拔鍵學系

2014.3—2015.3訪問學者北卡羅來納大學教堂山分校

2013.7—2013.9訪問學者香港浸會大學

2011.3—2011.9訪問學者新加坡國立大學

社會兼職

中國現場統計學會高維數據分會理事

北芝蜜臘京套用統計學會理事

美國數學評論(Math review)評論員

為眾多國際櫃享台組國內期刊審稿

研究方向

高維數據分析、統計學習、機器學習

學術成果

發表論文

在國際統計學界頂級期刊Journal of the Royal Statistical Society: Series B（JRSSB），The Annals of Statistics（AOS）發表論文多篇。在統計學知名期刊只拜刪上發表SCI論文二十餘篇，如StatisticaSinica, Statistics and Computing, Bernoulli，ComputationsStatistic& Data Analysis等。

[1].JunlongZhao, Chao Liu, LuNiu,ChenleiLeng, (2019), Multiple influential point detection in high dimensional regression spaces,Journal of the Royal Statistical Society: Series B.81(2), 385–408（頂級期刊，Open Access）

[2].JunlongZhao, Guan Yu,YufengLiu, (2018)Assecingthe robustness of classification in angular breakdown point.The AnnalsofStatistics. 46, 3362–3389.（頂級期刊）

[3].JunlongZhao,ChenleiLeng,LexinLi,HanshengWang (2013). High dimensional influence measure.The Annals of Statistics41(5), 2639-2667（頂級期刊）

[4].LuNiu,JunlongZhao*(2019) High dimensional semiparametric estimate of latent covariance matrix for matrix-variate.StatisticaSinica，29,1535-1559.

[5].JunlongZhao,HongyuZhao,LixingZhu (2018) Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models.Statistics andComputing.28(4),775-793.

[6].Lan Wei,YingyingMa,JunlongZhao,HanshengWang, Thai-Chi Ling(2018),Sequential model averaging forhigh dimensional linear regression models.StatisticaSinica, 28,449-469.

[7].JunlongZhao, LuNiu, Shushi Zhan.(2017)Trace regression model with simultaneously low rank and row (column) sparse parameter.Computational Statistics & Data Analysis,116,1-17.

[8].XuehuZhu, Tao Wang,JunlongZhao,LixingZhu（2017）Inference for biasedtranformationmodels，ComputationalStatistic&DataAnalysis.109, 105-120.

[9].JunlongZhao,ChenleiLeng(2016). An analysis on penalized interaction model.Bernoulli,22(3), 1937–1961.

[10].XiaolingLv,Junlongzhao, Yu Chen,Hansheng, Wang. (2016)Achoice model with a diverging choice set for POI data analysis.Statistics and Its Interface, 9, 355–363.

[11].LeleHuang,JunlongZhao*,HuiwenWang,SiyangWang. (2016)Robust Shrinkage Estimation and Selection for Functional Multiple Linear ModelThroughLAD Loss.Computational statistics & data analysis.103, 384-400.

[12].XuhuaLiu,JunlongZhao, 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.

[13].JunlongZhao(2015).General sparse boosting: improving the feature selection of L2boosting.Communication inStatistics--Computation andSimulation, 44, 1612-1640.

[14].JunlongZhao,ChenleiLeng, (2014). Structured Lasso with matrix covariates in regression.StatisticaSinica. 24, 799-814.

[15].JunlongZhao(2013). Asymptotic convergence of dimension reduction based boosting in classification.Journal of Statistical Planning and Inference143, 651–662.

科研項目

主持國家自然科學基金，教育部人文社科基金多項。

[1].2019.1-2022.12主持國家自然科學基金面上項目：融合結構信息的高維數據穩健方法

[2].2015.1—2018.12主持國家自然科學基金面上項目：“高維複雜結構數據降維”

[3].2015.1-2018.12參與國家自然科學基金面上項目：實時流數據變係數多分類模型研究

[4].2012.1—2014.12主持國家自然科學基金青年基金“高維數據降維和變數選擇的若干穩健降維方法研究”

[5].2011.1-2013.12主持教育部人文社科基金項目“高維數據中的分層變數選擇”

所獲榮譽

2013年獲得北京航空航天大學“藍天科研新星”