Ying-Xin Li

  Postdoc

LAMDA Group, Department of Computer Science, Nanjing University

22 Hankou Road, Nanjing, 210093, China

(+86) 25 8368 6268

liyx@lamda.nju.edu.cn, linterlee@gmail.com

http://lamda.nju.edu.cn/liyx

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Hi!

I am a postdoctoral fellow of Department of Computer Science of Nanjing University. I received my Ph.D.degree from School of Electronic Information and Control Engineering of Beijing University of Technology in Jun. 2006. After that, I worked on algorithms of run-time pattern classification problems of industrial applications for about 2 years. Now, I joined  LAMDA Group led by professor Zhi-Hua Zhou to make deep research on machine learning and bioinformatics.

                                 

Supervisor
Professor Zhi-Hua ZHOU , the leader of  LAMDA.

Research Interest
My research interests mainly include Machine Learning, Pattern Recognition and Bioinformatics.

Selected Publications

  • Y.-X. Li, S. Ji, J. Ye, S. Kumar, and Z.-H. Zhou. Drosophila gene expression pattern annotation through multi-instance multi-label learning. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09), Pasadena, CA, 2009.

  • S. Ji, Y.-X. Li, Z.-H. Zhou, S. Kumar, J. Ye. A bag-of-words approach for drosophila gene expression pattern annotation. BMC Bioinformatics, 2009, 10: 119.

  • S. Ji, L. Yuan, Y.-X. Li, Z.-H. Zhou, S. Kumar, and J. Ye. Drosophila gene expression pattern annotation using sparse features and term-term interactions. In: Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD'09), Paris, France, 2009.

  • Xiao-gang Ruan, Ying-xin Li, et al.. Tumor-specific gene expression patterns with gene expression profiles. Science in China Series C Life Science, 2006,49(3):293-304.

  • Ying-xin Li, Xiao-gang Ruan. Feature selection for cancer classification based on support vector machine. Journal of Computer Research and Development, 2005, 10(42):1796-1801. (in Chinese, English Abstract)

  • Ying-xin Li, Quan-jin Liu, Xiao-gang Ruan. A method for extracting knowledge from tumor gene expression data. Acta Electronica Sinica, 2004, 32(9):1479-1482. (in Chinese, English Abstract)

  • Ying-xin Li, Jian-geng Li and Xiao-gang Ruan. Study of informative gene selection for tissue classification based on tumor gene expression. Chinese Journal of Computers, 2006, 29(2):324-330. (in Chinese, English Abstract)

  • Ying-xin Li, Xiao-gang Ruan. Cancer subtype recognition and feature selection with gene expression profiles. Acta Electronica Sinia, 2005, 33(4):651-655. (in Chinese, English Abstract)

  • Ying-xin Li, Quan-jin Liu, Xiao-gang Ruan. Analysis of leukemia gene expression profiles and subtype informative genes identification. Chinese Journal of Biomedical Engineering, 2005, 24(2):240-244. (in Chinese, English Abstract)

  • Ying-xin Li, Quan-jin Liu, Xiao-gang Ruan. Analysis of multiply myeloma gene expression profiles. Journal of Beijing University of Technology, 2004, 30(3):286-289. (in Chinese, English Abstract)

  • Ying-xin Li, Yun-hua Zhu, Xiao-Gang Ruan. Gene selection for leukemia subtype classification from gene expression profiles. Proceedings of the Third International Conference on Machine Learning and Cybernetics (ICMLC¡¯04), 2004, 3:1661-1664.

  • Ying-xin Li, Quan-jin Liu, Xiao-gang Ruan. Cancer molecular classification based on support vector machines, Proceedings of 5th World Congress on Intelligence Control and Automation (WCICA¡¯04), 2004, 6:5521-5524. (Report) (in Chinese, English Abstract)

  • Ying-xin Li, Xiao-gang Ruan. Cancer informative genes identification based on artificial neural networks, 2004 Doctoral Forum of China, 2004, 1:68-75.(Report) (in Chinese, English Abstract)

Educational Awards

  • 2006 Excellent Doctoral Dissertation of Beijing University of Technology.

  • BeiChuan Scholarship of SORUN.
  • Excellent graduate student of Beijing University of Technology
  • Academic Scholarship of Science and Technology Innovation of Beijing University of Technology

Professional Experience

                                                 Postdoc

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                                                 Research on machine learning and bioinformatics.

 

                                                Vice manager of CCD application (Machine Vision) department

                        

                                                Worked on run-time robust algorithms for cotton-impurity pattern classification based on CCD data,

                                                and spectrum analysis.
Ying-Xin Li

Last updated May. 16, 2009