Dr. Haiqin Yang
Haiqin Yang is a postdoctoral fellow at The Chinese University of Hong Kong. His research interests are machine learning, data mining, and big data analytics. He has published two books, seven journal articles, four book chapters, twenty conference papers. He received the first prize award in the IEEE Hong Kong Section 2010 (PG) Student Paper Contest, PCCW Foundation Scholarship, The Global Scholarship Programme for Research Excellence. He served as a chair of IEEE BigData 2013 Workshop, scalable machine learning: theory and applications, PC member of CIKM(2012/2013), ACML(2012/2013), IEEE Big Data2013, IEEE BDDS2013.
Nowadays, Big Data are generated every day in various domains, such as Internet search, social networks, finance, business sectors, meteorology, genomics, connectomics, complex physics simulations, and biological and environmental research. The huge volume, high velocity, significant variety, and low veracity bring challenges to current machine learning techniques for analyzing the data. The research topics of this project include, but not limited to: