☕️Xingtong Yu is currently a Postdoctoral Researcher at The Chinese University of Hong Kong. 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 and LLM, prompt learning, AI4finanace. Moreover, he has served as the PC member for top-tier conferences and journals including ICLR, NeurIPS, ICML, TKDE, SIGKDD, WWW, AAAI, etc.
2026 Papers
(2026).
UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Science.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD).
(2026).
Clustering as Reasoning: A k-Means Interpretation of Chain-of-Thought Graph Learning.
International Conference on Machine Learning (ICML).
(2026).
StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(2026).
A2GBD: Attack-Agnostic Graph Backdoor Defense.
The ACM Web Conference (WWW).
(2026).
GraphReAct: Reasoning and Acting for Multi-step Graph Inference.
Preprint.
(2026).
Evaluating Progress in Graph Foundation Models: A Comprehensive Benchmark and New Insights.
Preprint.
(2026).
TradingMoE: Routing the Right Experts in Evolving Markets.
Preprint.
(2026).
CoEvoT: Co-Evolving Chain-of-Thought Prompting for Graph-LLM Reasoning.
Preprint.
(2026).
ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models.
Preprint.
(2026).
Dynamic Graph Prompting via Topology-Routed Mixed-Curvature Experts.
Preprint.
(2026).
HyperClaim: Fine-Grained Cross-Modal Hypergraph Reasoning for Video Misinformation Detection.
Preprint.
(2026).
PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs.
Preprint.
2025 Papers
(2025).
GCoT: Chain-of-Thought Prompt Learning for Graphs .
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD).
(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).
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD).
(2025).
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding .
International Conference on Computational Linguistics (COLINGS).
(2025).
Learnable Game-Theoretic Policy Optimization for Data-Centric Self-Explanation Rationalization.
IEEE Transactions on Knowledge and Data Engineering (TKDE).
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).
(2024).
Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models.
Preprint.
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
Postdoctoral Researcher
- Supervisor: Hong Cheng
Research Scientist
- Supervisor: Yuan Fang
Visiting Research Scholar
- Supervisor: Renhe Jiang
Visiting Research Scholar
Academic Service
Area Chair
- KDD (2026)
Conference Reviewer
- ICLR (2024, 2025)
- NeurIPS (2023, 2024, 2025)
- 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