个人简介
1998.09-2002.06 燕山大学理学院数学系，获理学学士学位
2005.09-2008.04 西北工业大学理学院应用数学系，获理学硕士学位
2009.03-2013.12 西北工业大学理学院应用数学系，获理学博士学位
2016.12-2017.12 加拿大约克大学统计系，访问学者
2002.07-2009.07 太原科技大学应用科学学院，助教
2009.08-2014.09 太原科技大学应用科学学院，讲师
2014.10-至今 太原科技大学应用科学学院，副教授
近期论文
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1．Xifa Duan, Peiyan, Qi, Zheng Tian, Registration for variform object of Remote-sensing Image Using Improved Robust Weighted Kernel Principal Component Analysis, Journal of the indian society of remote sensing, 2016, 44(5):1-12. (SCI检索)
2. Xifa Duan*, Zheng Tian, Mingtao Ding, Wei Zhao. Registration of Remote-sensing Images Using Robust Weighted Kernel Principal Component Analysis [J]. International Journal of Electronics and Communications, 67(1), pp 20-28, 2013.(SCI检索)
3.Peiyan Qi, Xifa Duan*, Zheng Tian, MOSUM monitoring for variance change in nonparametric regression models，Communications in Statistics - Simulation and Computation，online, 2017,07,http://dx.doi.org/10.1080/03610918.2017.1350271
4.段西发*，田铮，齐培艳，张朝阳. SAR图像中目标配准的稳健加权核主成分分析方法[J].光电子×激光，24(8), pp 1634-1643, 2013.[EI检索]
5. Xifa Duan, Zheng Tian, Peiyan Qi, Xiangzeng Liu. A Robust Weighted Kernel principal Component Analysis Algorithm [C].Proceedings- 2011 International Conference of Information Technology, Computer Engineering and Management Sciences, ICM 2011, Sep 24-25, pp 278-282, Nanjing, China, 2011.[EI:20120614754088].
6.段西发*，田铮，齐培艳，延伟东，图像特征点集匹配的稳健非线性投影NMF方法[J].光电工程，40(6), pp 129-136, 2013．
7. 段西发*，田铮，齐培艳，贺飞跃.遥感图像配准的稳健投影非负矩阵分解方法[J].计算机工程与应用，49(7), pp 28-34, 2013.
8.段西发*，田铮，齐培艳，无穷方差厚尾过程中非参数函数的小波估计，数理统计与管理，2010，29（2）pp 254-261.（CSSCI检索）
9. Peiyan Qi, Xifa Duan, Zheng Tian, Fuxiao Li, Sequential monitoring for changes in models with a polynomial trend. Communications in Statistics - Simulation and Computation, 2016, 45(1): 222 - 239.SCI检索, WOS: 000365094700013
10. Peiyan Qi, Zheng Tian, Xifa Duan, Sequential Monitoring Variance Changes in Location Model. Communications in Statistics - Theory and Methods, 2015, 44(24) 5267 - 5284.SCI检索,WOS：000366397900012
11.Zhang Z, Tian Z, Duan X, et al. Adaptive kernel subspace method for speeding up feature extraction[J]. Neurocomputing, 2013, 113: 58-66.,(SCI检索)
12.Yan W, Tian Z, Duan X, et al. Feature matching based on unsupervised manifold alignment[J]. Machine vision and applications, 2013, 24(5): 983-994.(SCI检索)
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