| Graph condensation for inductive node representation learning X Gao, T Chen, Y Zang, W Zhang, QVH Nguyen, K Zheng, H Yin ICDE 2024, 2023 | 20 | 2023 |
| Dynamic graph neural network-based fraud detectors against collaborative fraudsters L Ren, R Hu, D Li, Y Liu, J Wu, Y Zang, W Hu Knowledge-Based Systems 278, 110888, 2023 | 4 | 2023 |
| Improving fraud detection via imbalanced graph structure learning L Ren, R Hu, Y Liu, D Li, J Wu, Y Zang, W Hu Machine Learning 113 (3), 1069-1090, 2024 | 2 | 2024 |
| Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning J Wu, R Hu, D Li, L Ren, Z Huang, Y Zang Neural Networks 169, 20-31, 2024 | 1 | 2024 |
| Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection J Hu, R Hu, Z Wang, D Li, J Wu, L Ren, Y Zang, Z Huang, M Wang ACM MM 2023, 8891-8899, 2023 | 1 | 2023 |
| Don’t Ignore Alienation and Marginalization: Correlating Fraud Detection Y Zang, R Hu, Z Wang, D Xu, J Wu, D Li, J Wu, L Ren IJCAI 2023, 2023 | 1 | 2023 |
| Idgl: an imbalanced disassortative graph learning framework for fraud detection J Wu, R Hu, D Li, L Ren, W Hu, Y Zang International Conference on Service-Oriented Computing, 616-631, 2022 | 1 | 2022 |
| Cross-regional friendship inference via category-aware multi-bipartite graph embedding L Ren, R Hu, D Li, J Wu, Y Zang, W Hu 2022 IEEE 47th Conference on Local Computer Networks (LCN), 73-80, 2022 | 1 | 2022 |
| ITC: Influential-Truss Community Search D Li, L Zeng, R Hu, X Liang, Y Zang 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022 | 1 | 2022 |
| A GNN-based fraud detector with dual resistance to graph disassortativity and imbalance J Wu, R Hu, D Li, L Ren, W Hu, Y Zang Information Sciences 669, 120580, 2024 | | 2024 |
| User and Interaction Both Matter: Social Relationship Mining Via Interaction Graph Propagating Y Zang, R Hu, X Li, Z Wang, D Li ICC 2023, 5576-5581, 2023 | | 2023 |
| Dynamic Behavior Pattern: Mining the Fraudsters in Telecom Network D Li, L Zeng, R Hu, Z Huang, X Liang, Y Zang 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th …, 2022 | | 2022 |
| A Bi-directional Category-Aware Multi-task Learning Framework for Missing Check-in POI Identification J Wu, R Hu, D Li, L Ren, W Hu, Y Zang International Conference on Service-Oriented Computing, 584-599, 2022 | | 2022 |
Ruimin HuWuhan University在 etrovub.be 的电子邮件经过验证
