Publications

Working Papers

Under Review
Predicting Restaurant Survival under Operational Opacity: A Dynamic Graph Neural Network Framework Grounded by Network Embeddedness Theory
Yilong Zang, Hengyun Li, Bruce X. B. Yu, and Liangfei Qiu
Production and Operations Management
Under Review
Spatial-Relational Interdependencies and Restaurant Survival: A Multidimensional Proximity-Aware Dynamic Graph Learning Framework
Yilong Zang, Hengyun Li, Jun Li, and Danting Cai
Tourism Management
Under Review
Disen-Surv: Unveiling Social-Spatial Interdependencies through Physical–Digital Cross-Network Disentanglement for Restaurant Survival Prediction
Yilong Zang, Hengyun Li, Bruce X. B. Yu, and Liangfei Qiu
ACM International Conference on Multimedia 2026

2026

  1. WWW 2026 PosterCCF-ACORE-A*CAAI-A
    Securing Your Place in the Review Network: A Dynamic Embeddedness-aware Graph Neural Network for Restaurant Survival Prediction
    Yilong Zang, Hengyun Li, Bruce X. B. Yu, and Liangfei Qiu
    Proceedings of the ACM Web Conference 2026, pp. 4793–4804
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2025

  1. AAAI 2025 OralCCF-ACORE-A*CAAI-A
    Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
    Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian Josef Vollmer, Hongzhi Yin, Jiangning Song, and Junhang Wu
    Proceedings of the AAAI Conference on Artificial Intelligence, 39(12), 13161–13169
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  2. ESWAQ1
    Power on Graph: Mining Power Relationship via User Interaction Correlation
    Yilong Zang, Lingfei Ren, Junhang Wu, Yilin Xiao, and Ruimin Hu
    Expert Systems with Applications, 270, 126348

2024

  1. ESWAQ1
    Do not Ignore Heterogeneity and Heterophily: Multi-network Collaborative Telecom Fraud Detection
    Lingfei Ren, Yilong Zang, Ruimin Hu, Dengshi Li, Junhang Wu, Zijun Huan, and Jinzhang Hu
    Expert Systems with Applications, 257, 124974
  2. ICDE 2024CCF-ACORE-A*CAAI-A
    Graph Condensation for Inductive Node Representation Learning
    Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, and Hongzhi Yin
    IEEE 40th International Conference on Data Engineering, pp. 3056–3069
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  3. IJCAI 2024CCF-A (2022)CORE-A*CAAI-A
    Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection
    Junhang Wu, Ruimin Hu, Dengshi Li, Zijun Huang, Lingfei Ren, and Yilong Zang
    Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, pp. 2451–2459
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  4. Information SciencesQ1
    A GNN-based fraud detector with dual resistance to graph disassortativity and imbalance
    Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, and Yilong Zang
    Information Sciences, 669, 120580
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  5. Machine LearningQ1
    Improving fraud detection via imbalanced graph structure learning
    Lingfei Ren, Ruimin Hu, Yang Liu, Dengshi Li, Junhang Wu, Yilong Zang, and Wenyi Hu
    Machine Learning, 113(3), 1069–1090
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  6. Neural NetworksQ1
    Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning
    Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Zijun Huang, and Yilong Zang
    Neural Networks, 169, 20–31
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2023

  1. IJCAI 2023 OralCCF-A(2022)CORE-A*CAAI-A
    Don’t Ignore Alienation and Marginalization: Correlating Fraud Detection
    Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu, Dengshi Li, Junhang Wu, and Lingfei Ren
    IJCAI 2023
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  2. ICC 2023 OralCCF-C
    User and Interaction both Matter: Social Relationship Mining via Interaction Graph Propagating
    Yilong Zang, Ruimin Hu, Xixi Li, Zheng Wang, and Dengshi Li
    ICC 2023 — IEEE International Conference on Communications
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  3. KBSQ1
    Dynamic graph neural network-based fraud detectors against collaborative fraudsters
    Lingfei Ren, Ruimin Hu, Dengshi Li, Yang Liu, Junhang Wu, Yilong Zang, and Wenyi Hu
    Knowledge-Based Systems, 2023
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  4. ACM MM 2023CCF-ACORE-A*CAAI-A
    Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection
    Jinzhang Hu, Ruimin Hu, Zheng Wang, Dengshi Li, Junhang Wu, Lingfei Ren, Yilong Zang, Zijun Huang, and Mei Wang
    The ACM Multimedia 2023

2022

  1. ICSOC 2022CCF-BCORE-A
    IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection
    Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, and Yilong Zang
    Service-Oriented Computing: 20th International Conference, pp. 616–631
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  2. ICSOC 2022CCF-BCORE-A
    A Bi-directional Category-Aware Multi-task Learning Framework for Missing Check-in POI Identification
    Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, and Yilong Zang
    Service-Oriented Computing: 20th International Conference, pp. 584–599
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  3. LCN 2022CCF-CCORE-B
    Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding
    Lingfei Ren, Ruimin Hu, Dengshi Li, Junhang Wu, Yilong Zang, and Wenyi Hu
    IEEE 47th Conference on Local Computer Networks (LCN), pp. 73–80
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  4. HPCC 2022CCF-CCORE-B
    Dynamic Behavior Pattern: Mining the Fraudsters in Telecom Network
    Dengshi Li, Lu Zeng, Rumin Hu, Zijun Huang, Xiaocong Liang, and Yilong Zang
    IEEE 23rd International Conference on High Performance Computing & Communications (HPCC)
  5. IJCNN 2022CCF-CCORE-BCAAI-C
    ITC: Influential-Truss Community Search
    Dengshi Li, Lu Zeng, Ruimin Hu, Xiaocong Liang, and Yilong Zang
    International Joint Conference on Neural Networks (IJCNN), pp. 01–08
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