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Xiangru Li

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417B Thomas Building
University Park, PA 16802
Phone: (814) 863-1607

Education

  1. Ph.D. in Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
  2. M.S. in Probability and Statistics, Jilin University
  3. B.S. in Mathematics, Shandong Normal University

Selected Publications

[1] Xiangru Li,  Ruyang Pan,  and Fuqing Duan.  Parameterizing Stellar Spectra Using Deep Neural Networks.  Research in Astronomy and Astrophysics 17(4) : 036,  2017.
[2] Wei Gao, Xiangru Li(Correspondence author). Application of Multi-task Sparse Lasso Feature Extraction and Support Vector Machine Regression in the Stellar Atmospheric Parameterization. Chinese Astronomy and Astrophysics, 41(3):331-346, 2017.
[3] Xiangru Li, Yu Lu, Georges Comte, Ali Luo, Yongheng Zhao and YongjunWang. Linearly supporting feature extraction for estimating stellar atmosphericparameters.  The Astrophysical Journal Supplement Series, 218(1),3, 2015
[4] Xiangru Li, Q.M. Jonathan Wu, Ali Luo, Yongheng Zhao, Yu Lu, Fang Zuo, Tan Yang, Yongjun Wang. SDSS/SEGUE spectral feature analysis for stellar atmospheric parameter estimation. The Astrophysical Journal, 790 105, 2014.
[5]Tan Yang, Xiangru Li(Correspondence author). Autoencoder of Stellar Spectra and its Application  in  Automatically  Estimating Atmospheric Parameters. Monthly Notices of the Royal Astronomical Society, 452 (1): 158-168, 2015.
[6]Yu Lu, Xiangru Li (Correspondence author). Estimating Stellar Atmospheric Parameters Based on LASSO and  Support Vector Regression.  Monthly  Notices Royal Astronomical Society, 452(2):1394-1401, 2015.
[7] Xiangru Li, Zhanyi Hu. Rejecting Mismatches by Correspondence Function. International Journal of Computer Vision, 89(1):1-17,2010.8.
[8] Xiangru Li, Zhanyi Hu, Fuchao Wu. A note on the convergence of the mean shift. Pattern Recognition, 40(6):1756-1762,2007.6.
[9] Xiangru Li, Xiaoming Li, Hailing Li, Maoyong Cao. Rejecting Outliers based on Correspondence Manifold. Acta Automatica Sinica, 35(1):17-22, 2009.1.
[10]Xiangru Li. Feature Extracting Methods in Spectrum Data Mining. Progress in Astronomy, 30(1):94-105, 2012.

Research Interests

Data Mining, Bayesian Learning, Astronomy Data Processing, Computer Vision

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