Machine learning, Statistical data mining, Pattern recognition, Optimization, Computer vision, Bioinformatics, Health/medical informatics, Drug discovery.

A Multi-Objective Program for Quantitative Subtyping of Clinically Relevant Phenotypes, Jiangwen Sun, Jinbo Bi and Henry R. KranzlerTo appear in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM2012), 2012. Improved Methods to Identify Stable, Highly Heritable Subtypes of Opioid Use and Related Behaviors, Jiangwen Sun, Jinbo Bi, Grace Chan, David Oslin, Lindsay Farrer, Joel Gelernter, Henry R. KranzlerAddictive Behaviors, 37(10):1138-1144, 2012. 1-Norm Support Vector Machine for College Drinking Risk Factor Identification, Michael Zuba, Joseph Gilbert, Yu Wu, Jinbo Bi, Howard Tennen and Stephen Armeli, Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, pp. 651-660, Jan. 2012. An Intelligent Web-based Decision Support Tool for Enhancing Asthma Guideline Adherence, Jinbo Bi and Arun Abraham, Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, pp. 51-59, Jan. 2012. Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach, Meizhu Liu, Le Lu, Jinbo Bi, Vikas Raykar, Matthias Wolf and Marcos Salganicoff Proceedings of the 14th International Conference on Medical Image Computing and Computer Assisted Intervention, 2011.