Xingcheng Fu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 36

Top Topics

Differential Privacy

Structure Learning

Top Venues

Knowl. Inf. Syst.

Publications

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
Dynamic Graph Information Bottleneck. CoRR (2024)
Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR (2024)
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR (2024)
Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. AAAI (2024)
Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI (2024)
Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR (2024)
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
Dynamic Graph Information Bottleneck. WWW (2024)
Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
Does Graph Distillation See Like Vision Dataset Counterpart? CoRR (2023)
Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
Heterogeneous graph neural network with semantic-aware differential privacy guarantees. Knowl. Inf. Syst. 65 (10) (2023)
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI (2023)
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR (2023)
Quanmin Wei, Jinyan Wang, Xingcheng Fu, Jun Hu, Xianxian Li
AIC-GNN: Adversarial information completion for graph neural networks. Inf. Sci. 626 (2023)
Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65 (5) (2023)
Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. CoRR (2023)
Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS (2023)
Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li
Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognit. 143 (2023)
Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. CoRR (2023)
Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang
: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs. ECAI (2023)
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR (2023)
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM (2023)
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR (2023)
Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He
A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS (2023)
Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. WWW (2023)
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM (2022)
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
Curvature Graph Generative Adversarial Networks. CoRR (2022)
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. ICDM (2022)
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
Graph Structure Learning with Variational Information Bottleneck. AAAI (2022)
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR (2022)
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
Curvature Graph Generative Adversarial Networks. WWW (2022)
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. CoRR (2022)
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
Graph Structure Learning with Variational Information Bottleneck. CoRR (2021)
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR (2021)
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM (2021)
Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR (2021)
Jinyan Wang, Chen Liu, Xingcheng Fu, Xudong Luo, Xianxian Li
A three-phase approach to differentially private crucial patterns mining over data streams. Comput. Secur. 82 (2019)