Xingcheng Fu

According to our database, Xingcheng Fu authored at least 24 papers between 2019 and 2024.

Collaborative distances:

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

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

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

CoRR, 2024

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

CoRR, 2024

Dynamic Graph Information Bottleneck.

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

Proceedings of the ACM on Web Conference 2024, 2024

Hyperbolic Geometric Latent Diffusion Model for Graph Generation.

Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li

Proceedings of the Forty-first International Conference on Machine Learning, 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

ReGCL: Rethinking Message Passing in Graph Contrastive Learning.

Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li

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

2023

A Robust and Generalized Framework for Adversarial Graph Embedding.

Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He

IEEE Trans. Knowl. Data Eng., November, 2023

Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding.

Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li

Pattern Recognit., November, 2023

Heterogeneous graph neural network with semantic-aware differential privacy guarantees.

Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Knowl. Inf. Syst., October, 2023

Adaptive curvature exploration geometric graph neural network.

Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu

Knowl. Inf. Syst., May, 2023

AIC-GNN: Adversarial information completion for graph neural networks.

Quanmin Wei, Jinyan Wang, Xingcheng Fu, Jun Hu, Xianxian Li

Inf. Sci., May, 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

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.

Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 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

Does Graph Distillation See Like Vision Dataset Counterpart?

Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li

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

POINE²: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs.

Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Curvature Graph Generative Adversarial Networks.

Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.

Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li

Proceedings of the IEEE International Conference on Data Mining, 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

Graph Structure Learning with Variational Information Bottleneck.

Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

ACE-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

Proceedings of the IEEE International Conference on Data Mining, 2021

2019

A three-phase approach to differentially private crucial patterns mining over data streams.

Jinyan Wang, Chen Liu, Xingcheng Fu, Xudong Luo, Xianxian Li

Comput. Secur., 2019