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Xingcheng Fu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

39

Venues

11

Active years

2021–2026

Best venue rank

A*

Where they publish

Papers

39 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAITowards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space.Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu
2026AAAIIs the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning.Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026AAAITowards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models.Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026AAAIPrivacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks.Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026AAAISA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation.Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu
2026KDDMitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective.Yuecen Wei, Liu Yang, Beining Yang, Qingyun Sun, Hao Peng, Tianyu Wo, Chunming Hu, Xingcheng Fu
2026WWWGraph Diffusion Evolution Model for Multi-Conditional Molecular Generation.Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li, Xianxian Li
2026WWWUnifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model.Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song
2026WWWTowards Geometry-Consistent Federated Graph Learning.Yuecen Wei, Zhiyu Zhuang, Yisen Gao, Xingcheng Fu, Qingyun Sun, Ziwei Zhang, Tianyu Wo, Chunming Hu
2026WWWRAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation.Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li
2025AAAIBi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck.Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li
2025AAAIDiscrete Curvature Graph Information Bottleneck.Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li
2025AAAIGraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts.Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li
2025AAAIPrompt-based Unifying Inference Attack on Graph Neural Networks.Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu
2025AAAIDG-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
2025CIKMFrontiers in Graph Machine Learning for the Large Model Era.Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu
2025CVPRGalaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding.Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li
2025ICLRIGL-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
2025ICLRST-GCond: Self-supervised and Transferable Graph Dataset Condensation.Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025ICMLHow 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
2025IJCAIOS-GCL: A One-Shot Learner in Graph Contrastive Learning.Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li
2025IJCAIMitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning.Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-E Wang, Chunming Hu, Xianxian Li, Xingcheng Fu
2025IJCAILeveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks.Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao
2025IJCAIAn Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks.Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu
2025WWWRobust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification.Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025WSDMGraph Size-imbalanced Learning with Energy-guided Structural Smoothing.Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2024AAAIReGCL: Rethinking Message Passing in Graph Contrastive Learning.Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
2024AAAIPoincar Differential Privacy for Hierarchy-Aware Graph Embedding.Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
2024ICMLHyperbolic Geometric Latent Diffusion Model for Graph Generation.Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
2024WWWDynamic Graph Information Bottleneck.Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
2023AAAISelf-Organization Preserved Graph Structure Learning with Principle of Relevant Information.Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023ECAIPOINEJunnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang
2023WWWHyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023WSDMUnbiased and Efficient Self-Supervised Incremental Contrastive Learning.Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2022AAAIGraph Structure Learning with Variational Information Bottleneck.Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022CIKMPosition-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
2022ICDMHeterogeneous Graph Neural Network for Privacy-Preserving Recommendation.Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2022WWWCurvature Graph Generative Adversarial Networks.Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2021ICDMACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu