| HY-RISE: Towards Risk Identification Learning from Massive Scientific Economic Activities W Zhang, W Chang, J Yu, F Liao Procedia Computer Science 221, 609-616, 2023 | 1 | 2023 |
| Gadal: An active learning framework for graph anomaly detection W Chang, J Yu, X Zhou Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2022 | 1 | 2022 |
| Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement W Chang, K Liu, PS Yu, J Yu arXiv preprint arXiv:2406.00987, 2024 | | 2024 |
| Multitask Active Learning for Graph Anomaly Detection W Chang, K Liu, K Ding, PS Yu, J Yu arXiv preprint arXiv:2401.13210, 2024 | | 2024 |
| A Multi-Feature Semantic Fusion and Bipartite Graph-Based Risk Identification Approach for Project Participation Y Wang, Y Hu, W Chang, J Yu | | 2024 |
| PERTAD: Towards Pseudo Verification for Anomaly Detection in Partially Labeled Graphs W Chang, J Yu, X Zhou Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2023 | | 2023 |
| ConsE: Consistency Exploitation for Semi-Supervised Anomaly Detection in Graphs W Chang, J Yu, X Zhou 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
