Received the 2017 SIGKDD Dissertation Award Honorable Mention and the 2022 SIGKDD Rising Star Award. His work has been deployed in large-scale applications at Facebook, Microsoft, Tencent, and nominated for best papers at WWW'22, WWW'19, ECML-PKDD'23, and WSDM’15. Published papers include AgentRL, DeepDive, MobileRL, WebRL, T1 for RL Scaling, TreeRL, SWE-Dev, AndroidLab, AgentBench, AgentTuning, VisionReward, ImageReward, Scaling RLHF, Emergent Abilities vs. Loss, CogVLM, Speech-Text Pre-training, CogView3, CodeGeeX, GraphAlign, GraphMAE, GraphMAE2, GPT-GNN, GCC, NetMF, NetSMF, ProNE, SketchNE, metapath2vec, Heterogeneous Graph Transformer (HGT), etc.
Research Experience
Worked at Meta AI and Microsoft Research Redmond. Current research directions include large language models, vision language models, LLM agents, and graphs and networks.
Education
Ph.D. in Computer Science from the University of Notre Dame. Before joining Tsinghua, he was a researcher at Meta AI and Microsoft Research Redmond.
Background
Associate Professor of Computer Science at Tsinghua University. His research focuses on large language models, data mining, graph representation learning, and social and information networks.
Miscellany
Selected as one of the ten most favorite teachers in 2024.