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Xin Xin




NameXin Xin

TitleAssociate professor

Office405

Email xinxin@henu.edu.cn


Research FieldHigh-Dimensional Statistics


Education

2010.09-2014.12, Ph.D. Shanghai University of Finance and Economics

2004.09-2007.07, Master of Science, HeNan University

2000.09-2004.07, Bachelor of Science, HeNan University


Position

2021.04 - , Henan University, Associate professor

2010.11 - 2021.04,  Henan University, Lecturer

2007.07 - 2010.10, Henan University, Assistant professor


Selected publications

[1] Xin Xin, Jianhua Hu and Liangyuan Liu. On the oracle property of a generalized adaptive elastic-net for multivariate linear regression with a diverging number of parameters. Journal of Multivariate Analysis, 2017, 162: 16-31.

[2] Xin Xin, Feng Qiu. Multiple-response Repeated Measurement or Multivariate Growth Curve Model with Distribution-free Errors[J]. Communications in Statistics - Theory and Methods, 2017,46(24):12370-12386.

[3] Jianhua Hu, Xin Xin and Jinhong You. Model determination and estimation for the growth curve model via group SCAD penalty. Journal of Multivariate Analysis, 2014, 124: 199-213.

[4] Chen Zheng, Xinxin Pan, Xiaohui Chen, xiaohui Yang, Xin Xin and Limin Su. An Object-Based Markov Random Field Model with Anisotropic Penalty for Semantic Segmentation of High Spatial Resolution Remote Sensing Imagery. Remote Sensing, 2019.

[5] Xiaohui Yang, Wenming Wu, Xinxin, Limin Su, Liugen Xue. Adaptive factorization rank selection-based NMF and its application in tumor recognition. International Journal of Machine Learning and Cybernetics, 2021.


Research Funding

1. Variable selection method of high-dimensional dataNational Natural Science Foundation of China(11371236)2014/01-2017/12.

2. Optimization model and algorithm for high-dimensional semiparametric regression statisticsNational Natural Science Foundation of China(11971149)2020.012023.12.

3. The research for ultra high dimensional data sparse problemNational Natural Science Foundation of Henan2020.012021.12.


Teaching

Nonparametric statistics; Statistics



 

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