Haonan Yuan

According to our database, Haonan Yuan authored at least 32 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

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

CoRR, March, 2026

Privacy-Preserving, Efficient, and Accurate Dimensionality Reduction.

Haonan Yuan, Wenyuan Wu, Jingwei Chen

IEEE Trans. Inf. Forensics Secur., 2026

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

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

Proceedings of the ACM Web Conference 2026, 2026

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

Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu

CoRR, December, 2025

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

CoRR, November, 2025

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

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

CoRR, November, 2025

Robust Graph Condensation via Classification Complexity Mitigation.

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

CoRR, October, 2025

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

CoRR, July, 2025

Technologies of blockchain interoperability: A survey.

Haonan Yuan, Shufan Fei, Zheng Yan

Digit. Commun. Networks, 2025

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

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

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SEF-UQR: Scalable and Efficient Privacy-Preserving Federated Updating QR Factorization.

Haonan Yuan, Wenyuan Wu, Jingwei Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Discrete Curvature Graph Information Bottleneck.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

CausalFD: causal invariance-based fraud detection against camouflaged preference.

Yudan Song, Yuecen Wei, Haonan Yuan, Qingyun Sun, Xingcheng Fu, Li-e Wang, Xianxian Li

Int. J. Mach. Learn. Cybern., November, 2024

CCSFLF: Cloud-edge-terminal collaborative self-adaptive federated learning framework.

Tong Zhou, Yaning Yu, Haonan Yuan, Bing Liu, Hongyang Zhao, Ruijin Wang

Concurr. Comput. Pract. Exp., May, 2024

Fast, Lagre Scale Dimensionality Reduction Schemes Based on CKKS.

Haonan Yuan, Wenyuan Wu, Jingwei Chen

IACR Cryptol. ePrint Arch., 2024

Dynamic Graph Information Bottleneck.

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

Proceedings of the ACM on Web Conference 2024, 2024

Secure Relative Detection in (Forensic) Database with Homomorphic Encryption.

Jingwei Chen, Weijie Miao, Wenyuan Wu, Linhan Yang, Haonan Yuan

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.

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

Proceedings of the ACM Web Conference 2023, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2019

Design of the Fuzzy Comprehensive Evaluation Platform for Sunshine Sports in Colleges and Universities Based on the Campus Network.

Haonan Yuan

Proceedings of the Data Processing Techniques and Applications for Cyber-Physical Systems, 2019