• Yuxiao DONG

• Associate Professor

• Email: yuxiaod@tsinghua.edu.cn

• Homepage: https://keg.cs.tsinghua.edu.cn/yuxiao/

• Knowledge Engineering Group (KEG)

Education background

Ph.D. in Computer Science, University of Notre Dame, USA, 2017.

Areas of Research Interests

Data Mining, Graph Machine Learning, Large Language Models, Artificial Intelligence

Research Status

Yuxiao’s research focuses on data mining, graph representation learning, and large language models (LLMs). 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, CodeGeeX, ChatGLM) algorithms, some of which were deployed for billion-scale applications in AMiner, ChatGLM.cn, Facebook, and Microsoft and nominated for best papers in ECML-PKDD'23, WWW'22, WWW'19, and WSDM’15. Before joining Tsinghua, he was a researcher at Meta AI and Microsoft Research Redmond.

Honors And Awards

ECML-PKDD’23 Best Student Paper Award

IJCAI’22 Early Career Spotlight

2022 ACM SIGKDD Rising Star Award

2017 ACM SIGKDD Doctoral Dissertation Award

Academic Services

Program Co-Chair of SMP’20, ECML-PKDD’20/21

Track Co-Chair of WWW’23

Area Chair/Senior PC of KDD, ICLR, WWW, AAAI, ECML-PKDD

Large Language Model (LLM) Day Co-Chair of WWW’24, KDD’23

Deep Learning Day Co-Chair of KDD’20, KDD’19, KDD’18