☕️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.
2025 Papers
(2025).
Node-Time Conditional Prompt Learning In Dynamic Graphs.
International Conference on Learning Representations (ICLR).
(2025).
Non-homophilic graph pre-training and prompt learning.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD).
(2025).
SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation.
The ACM Web Conference (WWW).
(2025).
GCoT: Chain-of-Thought Prompt Learning for Graphs .
Preprint.
(2024).
Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models.
Preprint.
2024 Papers
(2024).
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs.
IEEE Transactions on Knowledge and Data Engineering (TKDE).
(2024).
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs.
The ACM Web Conference (WWW).
(2024).
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning.
The AAAI Conference on Artificial Intelligence (AAAI).
2023 Papers
(2023).
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks.
The ACM Web Conference (WWW).
(2023).
Learning to Count Isomorphisms with Graph Neural Networks.
The AAAI Conference on Artificial Intelligence (AAAI).
(2023).
Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution.
The ACM International Conference on Multimedia (MM).
Education
Experiences
Research Scientist
- Supervisor: Yuan Fang
Visiting Research Scholar
- Supervisor: Renhe Jiang
Visiting Research Scholar
Academic Service
Conference Reviewer
- ICLR (2024, 2025)
- NeurIPS (2023, 2024)
- ICML (2024, 2025)
- KDD (2025)
- WWW (2024, 2025)
- AAAI (2025)
- CVPR (2024)
- CIKM (2024)
- ICMR (2024)
Journal Reviewer
- Information Fusion
- IEEE Transactions on Knowledge and Data Engineering
- Frontiers of Computer Science