Yanjun Qi

 

Email: qyj at cs.cmu.edu

 

 

         ==> My new website: http://home.yanjunqi.net
 

Educations:

·        I obtained my Ph.D. degree in May, 2008 from Carnegie Mellon University, School of Computer Science,  Language  Technologies Institute.  My Ph.D. advisors were Prof. Ziv Bar-Joseph and Prof. Judith Klein-Seetharaman.  

·        I got my M.S. in May 2003 from Carnegie Mellon University, School of Computer Science,  Language  Technologies Institute.

·        I received my B.S. with high honors (also M.E. in the accelerated program) in June 2001 from Computer Science Department, Tsinghua university, Beijing.


Research:

  • My research interests are within data mining and machine learning. I am particularly interested in applying learning techniques to text / image / video / biological data analysis.

 


Data / Code / Document Sharing :

·         (SupportingWeb) for paper: Y. Qi, HK. Dhiman, N. Bhola, et al, Z. Bar-Joseph, J. Klein-Seetharaman, "Systematic prediction of human membrane receptor interactions" PROTEOMICS  2009

  • For predicted human interaction partners for membrane receptors, data/code/web-Service provided @(Web)
  • For Yeast PPI predictions from multiple information sources, data / code / web-service provided @(Web)
  • For human protein-protein interaction prediction from information integration, feature sets and reference sets provided @ (Web)
  • Two reference sets of “protein complex” in Yeast are shared @(Web)

 

  • Some surveys I summarized

o       Did a literature survey about semi-supervised learning in my IR-Lab course project (2004 Fall).

§         I also coded three related semi-supervised methods for this course. They might be useful for you. Download (2004)

o       Did a literature survey about imbalanced problems in classification in my IR-Lab project (2004 Fall).

o       A brief introduction slide I summarized about Sampling Selection Bias topic (2005)

 

 


·        TA @ CMU:

o       15-681, Machine Learning (Fall 2006)

o       10-701 / 15-781, Machine Learning  ( Fall 2004 )

 

 


Success is not final, failure is not fatal: it is the courage to continue that counts. --- Winston Churchill

 

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