Xingcheng Fu - RankMe

98 papers A* 36A 5Journal 55Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments. IEEE Trans. Pattern Anal. Mach. Intell. Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2026	A*	`conf`	Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation. WWW Xingcheng Fu, Lingyun Liu, Yisen Gao, Tianyu Chen, Qingyun Sun, Jianxin Li, Xianxian Li
2026	A*	`conf`	Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning. AAAI Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	—	`conf`	Mitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective. KDD (1) Yuecen Wei, Liu Yang, Beining Yang, Qingyun Sun, Hao Peng, Tianyu Wo, Chunming Hu, Xingcheng Fu
2026	A*	`conf`	Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks. AAAI Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	A*	`conf`	RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation. WWW Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation. CoRR Haonan Yuan, Qingyun Sun, Jiacheng Tao, Xingcheng Fu, Jianxin Li
2026	J	`jnl`	Rethinking heterophilic graph learning via graph curvature. Knowl. Based Syst. Jian Wang, Xingcheng Fu, Qingyun Sun, Li-e Wang, Hao Peng, Jiting Li, Xianxian Li, Minglai Shao
2026	J	`jnl`	Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG. CoRR Haonan Yuan, Qingyun Sun, Junhua Shi, Mingjun Liu, Jiaqi Yuan, Ziwei Zhang, Xingcheng Fu, Jianxin Li
2026	A*	`conf`	SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation. AAAI Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu
2026	A*	`conf`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. AAAI Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026	A*	`conf`	Towards Geometry-Consistent Federated Graph Learning. WWW Yuecen Wei, Zhiyu Zhuang, Yisen Gao, Xingcheng Fu, Qingyun Sun, Ziwei Zhang, Tianyu Wo, Chunming Hu
2026	A*	`conf`	Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space. AAAI Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu
2026	J	`jnl`	Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space. CoRR Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu
2026	A*	`conf`	Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model. WWW Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song
2026	J	`jnl`	Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts. CoRR Xinyu Zhao, Qingyun Sun, Jiayi Luo, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models. Int. J. Mach. Learn. Cybern. Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Minglai Shao, Xingcheng Fu
2025	A*	`conf`	An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. IJCAI Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu
2025	J	`jnl`	An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. CoRR Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu
2025	A*	`conf`	Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. AAAI Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li
2025	J	`jnl`	Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs. CoRR Yisen Gao, Jiaxin Bai, Tianshi Zheng, Qingyun Sun, Ziwei Zhang, Jianxin Li, Yangqiu Song, Xingcheng Fu
2025	A*	`conf`	DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. AAAI Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li
2025	A*	`conf`	Discrete Curvature Graph Information Bottleneck. AAAI Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li
2025	J	`jnl`	DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning. CoRR Qingyun Sun, Jiaqi Yuan, Shan He, Xiao Guan, Haonan Yuan, Xingcheng Fu, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments. CoRR Qingyun Sun, Jiayi Luo, Haonan Yuan, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025	A	`conf`	Frontiers in Graph Machine Learning for the Large Model Era. CIKM Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu
2025	J	`jnl`	GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning. CoRR Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	A*	`conf`	Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding. CVPR Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li
2025	J	`jnl`	Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding. CoRR Tianyu Chen, Xingcheng Fu, Yisen Gao, Haodong Qian, Yuecen Wei, Kun Yan, Haoyi Zhou, Jianxin Li
2025	A	`conf`	Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. WSDM Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation. CoRR Zihao Guo, Qingyun Sun, Ziwei Zhang, Haonan Yuan, Huiping Zhuang, Xingcheng Fu, Jianxin Li
2025	A*	`conf`	GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. AAAI Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li
2025	A*	`conf`	How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. ICML Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu
2025	A*	`conf`	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. ICLR Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2025	J	`jnl`	Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning. CoRR Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	A*	`conf`	Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. IJCAI Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao
2025	J	`jnl`	Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. CoRR Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao
2025	A*	`conf`	Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. IJCAI Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li, Xingcheng Fu
2025	J	`jnl`	Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. CoRR Yudan Song, Yuecen Wei, Yuhang Lu, Qingyun Sun, Minglai Shao, Li-e Wang, Chunming Hu, Xianxian Li, Xingcheng Fu
2025	A*	`conf`	OS-GCL: A One-Shot Learner in Graph Contrastive Learning. IJCAI Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks. CoRR Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	A*	`conf`	Prompt-based Unifying Inference Attack on Graph Neural Networks. AAAI Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu
2025	J	`jnl`	Robust Graph Condensation via Classification Complexity Mitigation. CoRR Jiayi Luo, Qingyun Sun, Beining Yang, Haonan Yuan, Xingcheng Fu, Yanbiao Ma, Jianxin Li, Philip S. Yu
2025	A*	`conf`	Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. WWW Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. CoRR Jiayi Luo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	SA CoRR Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu
2025	J	`jnl`	SDA-PLANNER: State-Dependency Aware Adaptive Planner for Embodied Task Planning. CoRR Zichao Shen, Chen Gao, Jiaqi Yuan, Tianchen Zhu, Xingcheng Fu, Qingyun Sun
2025	—	`conf`	SIGMA: A Dual-Agent Reinforcement Learning-OptimizedFramework for Graph Classification. DAI Xinbang Cheng, Haodong Qian, Yisen Gao, Xingcheng Fu, Rongye Shi
2025	A*	`conf`	ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. ICLR Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction. CoRR Yisen Gao, Xingcheng Fu, Qingyun Sun, Jianxin Li, Xianxian Li
2025	J	`jnl`	Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models. CoRR Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2025	J	`jnl`	Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model. CoRR Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song
2025	J	`jnl`	User preference representation and dual contrastive learning for knowledge-aware recommendation. Int. J. Mach. Learn. Cybern. Ting Wei, Li-e Wang, Xingcheng Fu, Xianxian Li
2024	J	`jnl`	Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. CoRR Xingcheng Fu, Yisen Gao, Beining Yang, Yuxuan Wu, Haodong Qian, Qingyun Sun, Xianxian Li
2024	J	`jnl`	CausalFD: causal invariance-based fraud detection against camouflaged preference. Int. J. Mach. Learn. Cybern. Yudan Song, Yuecen Wei, Haonan Yuan, Qingyun Sun, Xingcheng Fu, Li-e Wang, Xianxian Li
2024	J	`jnl`	DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. CoRR Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li
2024	J	`jnl`	Discrete Curvature Graph Information Bottleneck. CoRR Xingcheng Fu, Jian Wang, Yisen Gao, Qingyun Sun, Haonan Yuan, Jianxin Li, Xianxian Li
2024	A*	`conf`	Dynamic Graph Information Bottleneck. WWW Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
2024	J	`jnl`	Dynamic Graph Information Bottleneck. CoRR Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
2024	A*	`conf`	GC-Bench: An Open and Unified Benchmark for Graph Condensation. NeurIPS Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024	J	`jnl`	GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024	J	`jnl`	Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. CoRR Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2024	J	`jnl`	GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. CoRR Zihao Guo, Qingyun Sun, Haonan Yuan, Xingcheng Fu, Min Zhou, Yisen Gao, Jianxin Li
2024	A*	`conf`	Hyperbolic Geometric Latent Diffusion Model for Graph Generation. ICML Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
2024	J	`jnl`	Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li
2024	J	`jnl`	IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
2024	A*	`conf`	Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. AAAI Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
2024	J	`jnl`	Prompt-based Unifying Inference Attack on Graph Neural Networks. CoRR Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu
2024	A*	`conf`	ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
2023	J	`jnl`	A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He
2023	J	`jnl`	AIC-GNN: Adversarial information completion for graph neural networks. Inf. Sci. Quanmin Wei, Jinyan Wang, Xingcheng Fu, Jun Hu, Xianxian Li
2023	J	`jnl`	Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
2023	A*	`conf`	Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023	J	`jnl`	Does Graph Distillation See Like Vision Dataset Counterpart? CoRR Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023	A*	`conf`	Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023	J	`jnl`	Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023	J	`jnl`	Heterogeneous graph neural network with semantic-aware differential privacy guarantees. Knowl. Inf. Syst. Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2023	J	`jnl`	Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognit. Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li
2023	A*	`conf`	Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. WWW Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023	J	`jnl`	Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. CoRR Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li
2023	A	`conf`	POINE ECAI Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang
2023	J	`jnl`	Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. CoRR Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu
2023	A*	`conf`	Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023	J	`jnl`	Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023	A	`conf`	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023	J	`jnl`	Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2022	A*	`conf`	Curvature Graph Generative Adversarial Networks. WWW Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022	J	`jnl`	Curvature Graph Generative Adversarial Networks. CoRR Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022	A*	`conf`	Graph Structure Learning with Variational Information Bottleneck. AAAI Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022	A*	`conf`	Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. ICDM Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2022	J	`jnl`	Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. CoRR Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
2022	A	`conf`	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022	J	`jnl`	Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2021	J	`jnl`	A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
2021	A*	`conf`	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021	J	`jnl`	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021	J	`jnl`	Graph Structure Learning with Variational Information Bottleneck. CoRR Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2019	J	`jnl`	A three-phase approach to differentially private crucial patterns mining over data streams. Comput. Secur. Jinyan Wang, Chen Liu, Xingcheng Fu, Xudong Luo, Xianxian Li