Published multiple papers, including 'Fully-inductive Node Classification on Arbitrary Graphs' (ICLR 2025), 'Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models' (arXiv 2025), 'Learning Representations for Reasoning: Generalizing Across Diverse Structures' (PhD Thesis 2024), 'Towards Foundation Models for Knowledge Graph Reasoning' (ICLR 2024), etc.
Research Experience
Senior Research Scientist at NVIDIA, focusing on post-training and reasoning.
Education
Ph.D. in Computer Science from the University of Montreal, advised by Prof. Jian Tang; B.S. with honors in Computer Science from Peking University.
Background
Senior Research Scientist at NVIDIA, working on post-training and reasoning. Believes that principles are more essential than solutions and has a great fondness for elegant and efficient designs.
Miscellany
In his spare time, he enjoys photography and hiking, which drive him to explore the beauty of the land and learn about himself and life.