Name:Xin Xin
Title:Associate professor
Office:405
Email: xinxin@henu.edu.cn
Research Field:High-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 data,National Natural Science Foundation of China(11371236),2014/01-2017/12.
2. Optimization model and algorithm for high-dimensional semiparametric regression statistics,National Natural Science Foundation of China(11971149),2020.01—2023.12.
3. The research for ultra high dimensional data sparse problem,National Natural Science Foundation of Henan,2020.01—2021.12.
Teaching:
Nonparametric statistics; Statistics