Regular biography
Lexing Xie is a Professor at The Australian National University, School of Computing. His research focuses on innovative design and use of machine learning algorithms, particularly on large-scale graph data and collective behaviour. His work includes areas such as popularity in social media, multimedia knowledge graphs, vision and language, and humanising machine intelligence. Xie joined ANU in December 2010 after previous positions at IBM T J Watson Research Center. He earned his degrees from Columbia University and Tsinghua University. His profile page provides further details on his research and publications.
Scholar-generated biography
Lexing Xie is a professor at Australian National University with research interests in machine learning, social media, and web technologies. His work explores the intersection of these areas, focusing on collaborative filtering, information diffusion, and multimedia retrieval. Xie has published extensively on topics such as Hawkes processes for social media popularity, sentiment-based image description generation, and semantic concept-based query expansion. His research also addresses challenges in social network analysis, including stress detection and engagement prediction in online videos. Xie's contributions span both theoretical and applied aspects of machine learning and social media analytics.