Yilong Zang

21 papers A* 7A 2B 2Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Securing Your Place in the Review Network: A Dynamic Embeddedness-aware Graph Neural Network for Restaurant Survival Prediction.
WWW
Yilong Zang, Hengyun Li, Bruce X. B. Yu, Liangfei Qiu
2025 J jnl
Power on graph: Mining power relationship via user interaction correlation.
Expert Syst. Appl.
Yilong Zang, Lingfei Ren, Junhang Wu, Yilin Xiao, Ruimin Hu
2025 A* conf
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis.
AAAI
Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian Josef Vollmer, Hongzhi Yin, Jiangning Song, Junhang Wu
2024 J jnl
A GNN-based fraud detector with dual resistance to graph disassortativity and imbalance.
Inf. Sci.
Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang
2024 J jnl
Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning.
Neural Networks
Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Zijun Huang, Yilong Zang
2024 J jnl
Do not ignore heterogeneity and heterophily: Multi-network collaborative telecom fraud detection.
Expert Syst. Appl.
Lingfei Ren, Yilong Zang, Ruimin Hu, Dengshi Li, Junhang Wu, Zijun Huang, Jinzhang Hu
2024 A* conf
Graph Condensation for Inductive Node Representation Learning.
ICDE
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2024 A* conf
Heterophilic Graph Invariant Learning for Out-of-Distribution of Fraud Detection.
ACM Multimedia
Lingfei Ren, Ruimin Hu, Zheng Wang, Yilin Xiao, Dengshi Li, Junhang Wu, Yilong Zang, Jinzhang Hu, Zijun Huang
2024 J jnl
Improving fraud detection via imbalanced graph structure learning.
Mach. Learn.
Lingfei Ren, Ruimin Hu, Yang Liu, Dengshi Li, Junhang Wu, Yilong Zang, Wenyi Hu
2024 J jnl
Rethinking Cancer Gene Identification through Graph Anomaly Analysis.
CoRR
Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian J. Vollmer, Hongzhi Yin, Jiangning Song, Junhang Wu
2024 A* conf
Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection.
IJCAI
Junhang Wu, Ruimin Hu, Dengshi Li, Zijun Huang, Lingfei Ren, Yilong Zang
2023 A* conf
Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection.
ACM Multimedia
Jinzhang Hu, Ruimin Hu, Zheng Wang, Dengshi Li, Junhang Wu, Lingfei Ren, Yilong Zang, Zijun Huang, Mei Wang
2023 A* conf
Don't Ignore Alienation and Marginalization: Correlating Fraud Detection.
IJCAI
Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu, Dengshi Li, Junhang Wu, Lingfei Ren
2023 J jnl
Dynamic graph neural network-based fraud detectors against collaborative fraudsters.
Knowl. Based Syst.
Lingfei Ren, Ruimin Hu, Dengshi Li, Yang Liu, Junhang Wu, Yilong Zang, Wenyi Hu
2023 J jnl
Graph Condensation for Inductive Node Representation Learning.
CoRR
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2023 — conf
User and Interaction Both Matter: Social Relationship Mining Via Interaction Graph Propagating.
ICC
Yilong Zang, Ruimin Hu, Xixi Li, Zheng Wang, Dengshi Li
2022 A conf
A Bi-directional Category-Aware Multi-task Learning Framework for Missing Check-in POI Identification.
ICSOC
Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang
2022 B conf
Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding.
LCN
Linfei Ren, Ruimin Hu, Dengshi Li, Junhang Wu, Yilong Zang, Wenyi Hu
2022 — conf
Dynamic Behavior Pattern: Mining the Fraudsters in Telecom Network.
HPCC/DSS/SmartCity/DependSys
Dengshi Li, Lu Zeng, Ruimin Hu, Zijun Huang, Xiaocong Liang, Yilong Zang
2022 A conf
IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection.
ICSOC
Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang
2022 B conf
ITC: Influential-Truss Community Search.
IJCNN
Dengshi Li, Lu Zeng, Ruimin Hu, Xiaocong Liang, Yilong Zang