Xingtong Yu

36 papers A* 8B 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
A
WWW
Chenxu Du, Yang Liu, Xingtong Yu, Zhuoer Xu, Tianrui Li
2026 J jnl
Evaluating Progress in Graph Foundation Models: A Comprehensive Benchmark and New Insights.
CoRR
Xingtong Yu, Shenghua Ye, Ruijuan Liang, Chang Zhou, Hong Cheng, Xinming Zhang, Yuan Fang
2026 J jnl
Learnable Game-Theoretic Policy Optimization for Data-Centric Self-Explanation Rationalization.
IEEE Trans. Knowl. Data Eng.
Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li
2026 J jnl
UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Science.
CoRR
Jie Zhang, Xingtong Yu, Yuan Fang, Rudi Stouffs, Zdravko Trivic
2025 J jnl
Event-Aware Prompt Learning for Dynamic Graphs.
CoRR
Xingtong Yu, Ruijuan Liang, Xinming Zhang, Yuan Fang
2025 — conf
Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond.
WWW (Companion Volume)
Yuan Fang, Yuxia Wu, Xingtong Yu, Shirui Pan
2025 — conf
GCoT: Chain-of-Thought Prompt Learning for Graphs.
KDD (2)
Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang
2025 J jnl
GCoT: Chain-of-Thought Prompt Learning for Graphs.
CoRR
Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang
2025 B conf
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.
COLING
Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge
2025 J jnl
Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization.
CoRR
Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li
2025 J jnl
MDPM: Modulating domain-specific prompt memory for multi-domain traffic flow prediction with transformers.
Knowl. Based Syst.
Zhuang Zhuang, Lingbo Liu, Kan Guo, Xingtong Yu, Heng Qi, Yanming Shen, Baocai Yin
2025 J jnl
MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder.
CoRR
Xingtong Yu, Chang Zhou, Xinming Zhang, Yuan Fang
2025 A* conf
Node-Time Conditional Prompt Learning in Dynamic Graphs.
ICLR
Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang
2025 — conf
Non-Homophilic Graph Pre-Training and Prompt Learning.
KDD (1)
Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang
2025 A* conf
SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation.
WWW
Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang
2025 J jnl
SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation.
CoRR
Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang
2025 J jnl
StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering.
CoRR
Zhihao Wen, Wenkang Wei, Yuan Fang, Xingtong Yu, Hui Zhang, Weicheng Zhu, Xin Zhang
2025 — conf
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity.
KDD (2)
Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura
2025 J jnl
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity.
CoRR
Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura
2024 J jnl
DyGPrompt: Learning Feature and Time Prompts on Dynamic Graphs.
CoRR
Xingtong Yu, Zhenghao Liu, Yuan Fang, Xinming Zhang
2024 J jnl
Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting.
CoRR
Xingtong Yu, Yuan Fang, Zemin Liu, Yuxia Wu, Zhihao Wen, Jianyuan Bo, Xinming Zhang, Steven C. H. Hoi
2024 J jnl
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs.
IEEE Trans. Knowl. Data Eng.
Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang
2024 A* conf
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning.
AAAI
Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang
2024 A* conf
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs.
WWW
Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang
2024 J jnl
Non-Homophilic Graph Pre-Training and Prompt Learning.
CoRR
Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang
2024 J jnl
Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models.
CoRR
Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang
2023 J jnl
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs.
CoRR
Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang
2023 A* conf
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks.
WWW
Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang
2023 J jnl
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks.
CoRR
Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang
2023 J jnl
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.
CoRR
Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge
2023 J jnl
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning.
CoRR
Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang
2023 A* conf
Learning to Count Isomorphisms with Graph Neural Networks.
AAAI
Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang
2023 J jnl
Learning to Count Isomorphisms with Graph Neural Networks.
CoRR
Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang
2023 J jnl
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs.
CoRR
Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang
2023 A* conf
Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution.
ACM Multimedia
Wenyu Zhang, Xin Deng, Baojun Jia, Xingtong Yu, Yifan Chen, Jin Ma, Qing Ding, Xinming Zhang
2023 J jnl
Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution.
CoRR
Wenyu Zhang, Xin Deng, Baojun Jia, Xingtong Yu, Yifan Chen, Jin Ma, Qing Ding, Xinming Zhang