for studying networks and scientific innovation, and my advisors are Prof. Jure Leskovec, Prof. Dan Jurafsky, and Prof. Daniel McFarland.
Before my postdoc at Stanford University, I obtained my PhD in Computer Science at Australian National University (ANU) in 2015, and I had been supervised by Prof. Peter Christen, Dr. David Newth, Prof. Lexing Xie, and Prof. Robert Ackland. I received a Master's degree of Computer Science from University of Southern California (USC) where I studied Artificial Intelligence.
My current research at Stanford Unversity is to study scientific innovation across different discplines from large academic corpora, using computational linguistics and social network methods. My previous research (PhD study) had focused on dynamics of information diffusion which includes analyzing collective user behaviors, developing models for macro-level diffusion mechanisms, and inferring topic diffusion across multiple social systems. As important real-world application domains, I tried to uncover diffusion processes of current events in social media and knowledge transfer in academic publications. Overall, my research has pursued to understand topic-related information diffusion across heterogeneous social networks in both model-driven and model-free ways.
Information Diffusion Mechanisms, Complex Systems, Nonlinear Dynamics, Social Computing, Heterogeneous Social Networks,
Social Media Data Analytics, Information Theory, and Machine Learning
Selected Research Projects