Dynamic Behavior Pattern: Mining the Fraudsters in Telecom Network. - Dengshi Li; Lu Zeng; Ruimin Hu; Zijun Huang; Xiaocong Liang; Yilong Zang (HPCC/DSS/SmartCity/DependSys, 2022)

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; Yilong Zang (ICSOC, 2022)

IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection. - Junhang Wu; Ruimin Hu; Dengshi Li; Lingfei Ren; Wenyi Hu; Yilong Zang (ICSOC, 2022)

ITC: Influential-Truss Community Search. - Dengshi Li; Lu Zeng; Ruimin Hu; Xiaocong Liang; Yilong Zang (IJCNN, 2022)

Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding. - Linfei Ren; Ruimin Hu; Dengshi Li; Junhang Wu; Yilong Zang; Wenyi Hu (LCN, 2022)

User and Interaction Both Matter: Social Relationship Mining Via Interaction Graph Propagating. - Yilong Zang; Ruimin Hu; Xixi Li; Zheng Wang 007; Dengshi Li (ICC, 2023)

Don't Ignore Alienation and Marginalization: Correlating Fraud Detection. - Yilong Zang; Ruimin Hu; Zheng Wang 007; Danni Xu; Jia Wu 001; Dengshi Li; Junhang Wu; Lingfei Ren (IJCAI, 2023)

Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection. - Jinzhang Hu; Ruimin Hu; Zheng Wang 007; Dengshi Li; Junhang Wu; Lingfei Ren; Yilong Zang; Zijun Huang; Mei Wang (ACM Multimedia, 2023)

Dynamic graph neural network-based fraud detectors against collaborative fraudsters. - Lingfei Ren; Ruimin Hu; Dengshi Li; Yang Liu 200; Junhang Wu; Yilong Zang; Wenyi Hu (Knowl. Based Syst., 2023)

Graph Condensation for Inductive Node Representation Learning. - Xinyi Gao 001; Tong Chen 005; Yilong Zang; Wentao Zhang 001; Quoc Viet Hung Nguyen; Kai Zheng 001; Hongzhi Yin (ICDE, 2024)

Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection. - Junhang Wu; Ruimin Hu; Dengshi Li; Zijun Huang; Lingfei Ren; Yilong Zang (IJCAI, 2024)

Heterophilic Graph Invariant Learning for Out-of-Distribution of Fraud Detection. - Lingfei Ren; Ruimin Hu; Zheng Wang 007; Yilin Xiao 002; Dengshi Li; Junhang Wu; Yilong Zang; Jinzhang Hu; Zijun Huang (ACM Multimedia, 2024)

Do not ignore heterogeneity and heterophily: Multi-network collaborative telecom fraud detection. - Lingfei Ren; Yilong Zang; Ruimin Hu; Dengshi Li; Junhang Wu; Zijun Huang; Jinzhang Hu (Expert Syst. Appl., 2024)

A GNN-based fraud detector with dual resistance to graph disassortativity and imbalance. - Junhang Wu; Ruimin Hu; Dengshi Li; Lingfei Ren; Wenyi Hu; Yilong Zang (Inf. Sci., 2024)

Improving fraud detection via imbalanced graph structure learning. - Lingfei Ren; Ruimin Hu; Yang Liu 200; Dengshi Li; Junhang Wu; Yilong Zang; Wenyi Hu (Mach. Learn., 2024)

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; Yilong Zang (Neural Networks, 2024)

Rethinking Cancer Gene Identification Through Graph Anomaly Analysis. - Yilong Zang; Lingfei Ren; Yue Li 038; Zhikang Wang; David Antony Selby; Zheng Wang 007; Sebastian Josef Vollmer; Hongzhi Yin; Jiangning Song; Junhang Wu (AAAI, 2025)

Power on graph: Mining power relationship via user interaction correlation. - Yilong Zang; Lingfei Ren; Junhang Wu; Yilin Xiao 002; Ruimin Hu (Expert Syst. Appl., 2025)