Publications

A collection of my research work.

A Survey on Foundation Models for Structured Data: Tabular, Time Series, and Graphs

Qingyun Sun, Haonan Yuan, Yi Huang, Ziwei Zhang, Xingcheng Fu, Ruijie Wang, Haoyi Zhou, Jia Wu, Jianxin Li, Philip S. Yu

PreprintResearchGate 2026PaperSlidesCode

RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation

Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li

CCF AWWW 2026PaperSlidesCode

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning

Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li

CCF AAAAI 2026PaperSlidesCode

Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks

Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li

CCF AAAAI 2026Paper Slides Code

SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation

Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu

CCF AAAAI 2026Paper SlidesCode

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models

Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li

CCF AAAAI 2026Paper Slides Code

Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-Aware GraphRAG

Haonan Yuan, Qingyun Sun, Junhua Shi, Mingjun Liu, Jiaqi Yuan, Ziwei Zhang, Xingcheng Fu, Jianxin Li

PreprintarXiv 2026PaperSlidesCode

Information-Theoretic Foundations and Advances in Graph Machine Learning: A Comprehensive Survey

Qingyun Sun, Yi Huang, Haonan Yuan, Xingcheng Fu, Yisen Gao, Jia Wu, Shujian Yu, Angsheng Li, Jianxin Li, Philip S. Yu

PreprintAuthorea 2026PaperSlidesCode

Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments

Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu

CCF ATPAMI 2025PaperSlidesCode

GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-Tuning

Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu

CCF ANeurIPS 2025Paper Slides Code

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation

Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li

CCF ANeurIPS 2025Paper Slides Code

Robust Graph Condensation via Classification Complexity Mitigation

Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S. Yu

CCF ANeurIPS 2025PaperSlidesCode

How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees

Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu

CCF AICML 2025Paper Slides Code

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning

Qingyun Sun, Jiaqi Yuan, Shan He, Xiao Guan, Haonan Yuan, Xingcheng Fu, Jianxin Li, Philip S. Yu

PreprintarXiv 2025PaperSlidesCode

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification

Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li

CCF AWWW 2025PaperSlidesCode

GraphMORE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts

Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li

CCF AAAAI 2025Paper Slides Code

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models

Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li

CCF AAAAI 2025Paper Slides Code

Discrete Curvature Graph Information Bottleneck

Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li

CCF AAAAI 2025PaperSlidesCode

Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition

Haoyu Xie, Haoxuan Li, Chunyuan Zheng, Haonan Yuan, Guorui Liao, Jun Liao, Li Liu

CCF AAAAI 2025Paper Slides Code

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning

Jiawen Qin^*, Haonan Yuan^*, Qingyun Sun^*, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu

CCF AICLR 2025Paper Slides Code

Dynamic Graph Information Bottleneck

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li

CCF AWWW 2024Paper Slides Code

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu

CCF AAAAI 2024Paper Slides Code

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li

CCF ANeurIPS 2023Paper Slides Code

Hyperbolic Geometric Graph Representation Learning for Hierarchy-Imbalance Node Classification

Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li

CCF AWWW 2023PaperSlidesCode

Position-Aware Structure Learning for Graph Topology-Imbalance by Relieving Under-Reaching and Over-Squashing

Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu

CCF BCIKM 2022Paper Slides Code