Fu, Xingcheng

25 publications

IJCAI 2025 An 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

AAAI 2025 Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li

AAAI 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

AAAI 2025 Discrete Curvature Graph Information Bottleneck Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li

NeurIPS 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

CVPR 2025 Galaxy Walker: Geometry-Aware VLMs for Galaxy-Scale Understanding Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li

NeurIPS 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

AAAI 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li

ICML 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

ICLR 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

IJCAI 2025 Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao

IJCAI 2025 Mitigating 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

IJCAI 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li

AAAI 2025 Prompt-Based Unifying Inference Attack on Graph Neural Networks Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu

NeurIPS 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

ICLR 2025 ST-GCond: Self-Supervised and Transferable Graph Dataset Condensation Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li

NeurIPS 2025 Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian Li

NeurIPS 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu

ICML 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li

AAAI 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu

AAAI 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li

NeurIPS 2023 Does Graph Distillation See like Vision Dataset Counterpart? Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li

NeurIPS 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

AAAI 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu

AAAI 2022 Graph Structure Learning with Variational Information Bottleneck Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu