☕️Xingtong Yu is currently a Research Scientist at Singapore Management University. He obtained his B.E. from the School of the Gifted Young, University of Science and Technology of China, and Ph.D from the School of Computer Science and Technology, University of Science and Technology of China. His research interests lie in graph learning, prompt learning, and graph foundation model. Moreover, he has served as the PC member for top-tier conferences including ICLR, NeurIPS, ICML, SIGKDD, WWW, AAAI, etc.
Recent Papers
(2024).
Non-Homophilic Graph Pre-Training and Prompt Learning.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025.
(2024).
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs.
IEEE Transactions on Knowledge and Data Engineering.
(2024).
Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models.
Preprint.
(2024).
Node-Time Conditional Prompt Learning In Dynamic Graphs.
Preprint.
(2024).
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs.
The ACM Web Conference (WWW), 2024.
Education
Experiences
Research Scientist
- Supervisor: Yuan Fang
Visiting Research Scholar
- Supervisor: Renhe Jiang
Visiting Research Scholar
Academic Service
Conference Reviewer
- KDD (2025)
- WWW (2024, 2025)
- ICLR (2024, 2025)
- NeurIPS (2023, 2024)
- ICML (2024)
- AAAI (2025)
- CVPR (2024)
- CIKM (2024)
- ICMR (2024)
Journal Reviewer
- Information Fusion
- Frontiers of Computer Science