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

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 (ICMLC04), 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 (WCICA04), 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

                                                 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