| 2026 | AAAI | 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 |
| 2026 | AAAI | 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 |
| 2026 | AAAI | 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 |
| 2026 | AAAI | SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation. | Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu |
| 2026 | WWW | RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation. | Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li |
| 2025 | AAAI | Discrete Curvature Graph Information Bottleneck. | Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li |
| 2025 | AAAI | GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. | Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | CIKM | SEF-UQR: Scalable and Efficient Privacy-Preserving Federated Updating QR Factorization. | Haonan Yuan, Wenyuan Wu, Jingwei Chen |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | WWW | Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. | Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li |
| 2024 | AAAI | Poincar Differential Privacy for Hierarchy-Aware Graph Embedding. | Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu |
| 2024 | WWW | Dynamic Graph Information Bottleneck. | Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li |
| 2023 | WWW | Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. | Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li |
| 2022 | CIKM | 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 |