We focus on a unique phenomenon in social networks – the diffusion of contents, information, and adoption behaviors from one social entity to another. In particular, we investigate three critical and related problems concerning this phenomenon: adoption, persuasion, and link recommendation.
We are interested in designing state-of-art analytical tools to solve fundamental problems of FinTech. We actively explore new opportunities enabled by recent development in artificial intelligence and social network analytics to provide better solutions than traditional methods.
We investigate fundamental problems in data science, such as knowledge refreshing and knowledge discovery from incomplete data. In particular, we study how to maintain the currency of knowledge discovered from rapidly evolving data sources and how to discover knowledge from incomplete data.