| Multi-granularity relabeled under-sampling algorithm for imbalanced data Q Dai, J Liu, Y Liu Applied Soft Computing 124, 109083, 2022 | 41 | 2022 |
| Class-overlap undersampling based on schur decomposition for class-imbalance problems Q Dai, J W Liu, Y H Shi Expert Systems with Applications 221, 119735, 2023 | 35 | 2023 |
| Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm Y Tang, Q Dai, Y M Yang, T Du, L F Chen International Journal of Machine Learning and Cybernetics 14, 1967-1987, 2023 | 24 | 2023 |
| Class-imbalanced positive instances augmentation via three-line hybrid Q Dai, JW Liu, JP Yang Knowledge-based Systems 257, 109902, 2022 | 12 | 2022 |
| SWSEL: Sliding window-based selective ensemble learning for class-imbalance problems Q Dai, JW Liu, JP Yang Engineering Applications of Artificial Intelligence 121, 105959, 2023 | 11 | 2023 |
| Distance-based arranging oversampling technique for imbalanced data Q Dai, JW Liu, JL Zhao Neural Computing and Applications 35, 1323-1342, 2023 | 9 | 2023 |
| A software defect prediction method based on learnable three-line hybrid feature fusion Y Tang, Q Dai, Y Du, L Chen, X Niu Expert Systems with Applications 239, 122409, 2024 | 2 | 2024 |
| Multi‐armed bandit heterogeneous ensemble learning for imbalanced data Q Dai, JW Liu, JP Yang Computational Intelligence 39 (2), 344-368, 2023 | 2 | 2023 |
| Lightweight Intrusion Detection Model Based on CNN and Knowledge Distillation L Wang, Q Dai, T Du, L Chen Applied Soft Computing 165, 112118, 2024 | | 2024 |
| Class-overlap detection based on heterogeneous clustering ensemble for multi-class imbalance problem Q Dai, L Wang, K Xu, T Du, L Chen Expert Systems With Applications 255, 124558, 2024 | | 2024 |
| Software defect prediction ensemble learning algorithm based on 2-step sparrow optimizing extreme learning machine Y Tang, Q Dai, M Yang, L Chen, Y Du Cluster Computing-The Journal of Networks Software Tools and Applications 27 …, 2024 | | 2024 |
| Imbalanced instance selection based on Laplacian matrix decomposition with weighted k-nearest-neighbor graph Q Dai, J Liu, L Wang Neural Computing and Applications 36, 12397-12425, 2024 | | 2024 |
| A mutually supervised heterogeneous selective ensemble learning framework based on matrix decomposition for class imbalance problem Q Dai, X Zhou, J Yang, T Du, L Chen Expert Systems With Applications, 2024 | | 2024 |
| Undersampling based on generalized learning vector quantization and natural nearest neighbors for imbalanced data L Wang, Q Dai, J Wang, T Du, L Chen International Journal of Machine Learning and Cybernetics, 2024 | | 2024 |
| Distance Mapping Overlap Complexity Metric for Class-Imbalance Problems Q Dai, J Liu, Y Shi Applied Soft Computing 163, 111904, 2024 | | 2024 |
| Sequential three-way rules class-overlap under-sampling based on fuzzy hierarchical subspace for imbalanced data Q Dai, JW Liu, JP Yang International Conference on Neural Information Processing (ICONIP 2022), 2023 | | 2023 |
