Yuxiao is an Assistant Professor of Computer Science at Tsinghua University, where he is a member of the Knowledge Engineering Group (@ThuKEG). He received his Ph.D. in Computer Science from University of Notre Dame. Before joining Tsinghua, he was a researcher at Meta AI and Microsoft Research Redmond.
His research focuses on data mining, graph representation learning, social & information networks, and foundation models. Together with collaborators, his recent research includes heterogeneous graph embedding (metapath2vec, Heterogeneous Graph Transformer (HGT)), network embedding (NetMF, NetSMF, ProNE, SketchNE), graph pre-training (GraphMAE, GraphMAE2, kgTransformer, GPT-GNN, GCC), and LLM pre-training (GLM-130B, WebGLM, ChatGLM, CodeGeeX) 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. He 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 his experience and research can be found on LinkedIn and Google Scholar.
He is looking for self-motivated students to work on graph representation learning, graph neural networks, social networks, and LLM / foundation models.
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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