I'm mainly interested in subfields of machine learning including multi-source learning and crowdsourcing learning. Currently, I mainly focus on developing novel machine learning algorithms for cases where instead of perfect descriptions, only partial or noisy descriptions of examples are available. For example, the features may be incomplete and the labels may be inexact. Such data source imperfections usually occur during data collection and make classical machine learning algorithms not applicable. I also have interest in multi-label learning, active learning and social network analysis.
09/2012 每 present, Ph.D. student , Computer Science, Nanjing University
09/2010 每 06/2012, Master Student, Computer Science, Nanjing University
09/2006 每 06/2010, Bachelor of Science, Computer Science, Nanjing University