Yuxiao DONG

Yuxiao DONG is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University. His research interests include data mining, graph representation learning, and large language models. He has contributed to various algorithms such as heterogeneous graph embedding, network embedding, and graph pre-training, some of which have been deployed in large-scale applications. Before joining Tsinghua University, he was a researcher at Meta AI and Microsoft Research Redmond. He has received several awards, including the ECML-PKDD’23 Best Student Paper Award and the 2017 ACM SIGKDD Doctoral Dissertation Award.

Yuxiao Dong is a researcher at Tsinghua University with expertise in Large Language Models, Vision Language Models, LLM Reasoning, LLM Agent, and Graph Machine Learning. His work focuses on advancing the capabilities of large language models through benchmarking, reasoning, and agent-based applications. He has contributed to the development of models like ChatGLM, GLM-130B, and CogVideoX, which demonstrate his interest in natural language processing and multimodal learning. Dong's research also includes graph-based machine learning, with notable works such as Open Graph Benchmark, Heterogeneous Graph Transformer, and GraphMAE, highlighting his focus on scalable and efficient graph representation learning.