University of Southern California
ISI Site Signature

University of Southern California


Chun-Nan Hsu
 
 
   
   
  
 Research Interests  
 
  Bioinformatics: Cell image analysis, genome-wide association studies, biological text mining, biological information integration  
 
  Machine Learning and Data Mining from Big Data: Large-scale learning, online/incremental learning, graph-based high-dimensional data analysis, learning from the Web  
 
 Recent News  
 
  April 2013  
 
  Chun-Nan will present his paper entitled "Robust Cell segmenatation for Schizosaccharomyces Pombe Images with Focus Gradient" in IEEE ISBI 2013, April 7-11, San Francisco, CA.  
 
  September 2012  
 
  Chun-Nan was awarded a grant from the National Human Genome Research Institute (NHGRI) of the National Institute of Health (NIH) to apply biomedical text mining technologies to update a catalog of human genome-wide association studies.  
 
  August 2012  
 
  Chun-Nan received the IBM Faculty Award for his contributions in biomedical data and text mining.  
 
  April 2012  
 
  Chun-Nan gave a keynote speech in AIT/NCWIA 2012 in Taichung, Taiwan, on Text Mining from Biomedical Literature.  
 
  March 2012  
 
  Chun-Nan's paper on high-throughput image-based drug screening, titled Ranking of Multidimensional Drug Profiling Data by Fractional Adjusted Bi-Partitional Scores, was accepted by Bioinformatics and the proceedings track of ISMB-2012.  
 
  December 2011  
 
  Chun-Nan attended the 2011 IEEE International Conference on Data Mining, Vancouver, Canada, and presented the paper Time-aware Ranking of Dynamic Citation Networks.  
 
  November 2011  
 
  Chun-Nan attended the 2011 Asian Conference on Machine Learning, Taoyuan, Taiwan, where he served as the program chair.  
 
  October 2011  
 
  Chun-Nan's paper titled Automatic Morphological Subtyping Reveals New Roles of Caspases in Mitochondrial Dynamics was published in PLoS Computational Biology.  
 
  Chun-Nan's paper titled Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization was published in BMC Bioinformatics. The paper describes his top-rank winning algorithm for the gene normalization task in BioCreative 3 biological text mining challenge in September 2010.  
 
  July 2011  
 
  Chun-Nan, Jose-Luis Ambite, Yigal Arens, and Leslie Lange from UNC were awarded a project on PFINDR: Phenotype finder in data resources by the National Heart, Lung, and Blood Institute (NHLBI) of the National Institute of Health.  
 
 
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