I am an Assistant Professor of Computer Science at Tsinghua University, where I am a member of the Knowledge Engineering Group (KEG). I received my Ph.D. in Computer Science from University of Notre Dame. Before joining Tsinghua, I was a researcher at Meta AI and Microsoft Research Redmond. My research focuses on data mining, graph representation learning, pre-training models, and social & information networks. Together with collaborators, recent research includes the Heterogeneous Graph Transformer (HGT), graph pre-training (GraphMAE, kgTransformer, GPT-GNN, GCC), and network embedding (NetMF, NetSMF, ProNE, SketchNE) algorithms, some of which were deployed for billion-scale applications in AMiner, Facebook, and Microsoft and nominated for best papers in WWW'22, WWW'19, and WSDM’15. I was selected as one of the IJCAI’22 Early Career Spotlights and received the 2017 ACM SIGKDD Doctoral Dissertation Award Honorable Mention and 2022 ACM SIGKDD Rising Star Award.
More information about my experience and research can be found on LinkedIn and Google Scholar.
I am looking for self-motivated students to work with me on graph representation learning, graph neural networks, pre-training techniques, and social networks.
I'm very lucky to have the opportunities to work with these brilliant students and interns (ordered by year & last name).
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