Yanjun Qi
 
 
Email: qyj at cs.cmu.edu

 

 

         ==> My new website: http://www.nec-labs.com/~yanjun

·        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 honors (also M.E. in the accelerated program) in June 2001 from Computer Science Department, Tsinghua university, Beijing.

 

·     Ph.D. Dissertation: Learning of Protein Interaction Networks. (May 2008)

·     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.

 

·        Publications @ CMU

 

·        TA @ CMU:

1.      10-701 / 15-781, Machine Learning  ( Fall 2004 )

2.      15-681, Machine Learning (Fall 2006)

 

 

·        For the Yeast PPI prediction task, here I share the code and related files to generate these feature set. Download (code for both summary-style and detailed-style !). The general framework and the codes should be quite useful.

 

·        We provide a web server “HMRI” to retrieve human interaction partners for receptors

 

·        We collected feature sets and reference sets for the human protein-protein interaction prediction task. The data is shared in our 2007 BMC Bioinformatics paper supplementary web

 

·        We provide a web service “YPPIP” to retrieve our full predicted Yeast PPI predictions (co-complex task / physical PPI task)

 

·        We share our collected feature sets and reference sets for the Yeast PPI prediction task

 

·        Some surveys I summarized might be useful to you

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

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

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

3.      A brief introduction slide I summarized about Sampling Selection Bias topic.

 

 

 

 

 

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

 

 

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Last updated : July 29th 2008