| A neural network learning algorithm for highly imbalanced data classification Z ao Huang, Y Sang, Y Sun, J Lv Information Sciences 612, 496-513, 2022 | 38 | 2022 |
| Neural network with a preference sampling paradigm for imbalanced data classification Z ao Huang, Y Sang, Y Sun, J Lv IEEE Transactions on Neural Networks and Learning Systems, 2023 | 7 | 2023 |
| Neural network with absent minority class samples and boundary shifting for imbalanced data classification ZA Huang, Y Sang, Y Sun, J Lv Neural Computing and Applications 35 (12), 8937-8953, 2023 | 6 | 2023 |
| U-Sleep: a deep neural network for automated detection of sleep arousals using multiple PSGs S Yang, B Jia, Y Chen, Z Huang, X Huang, J Lv Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 3 | 2020 |
| MFPIDet: improved YOLOV7 architecture based on multi-scale feature fusion for prohibited item detection in complex environment L Zhang, ZA Huang, C Shi, H Ma, X Li, X Wu Complex & Intelligent Systems 10 (6), 8095-8108, 2024 | 1 | 2024 |
| Neural Networks Learn Specified Information for Imbalanced Data Classification Z ao Huang, Y Sang, Y Sun, J Lv IEEE Transactions on Knowledge and Data Engineering, 2024 | 1 | 2024 |
| Coupling importance sampling neural network for imbalanced data classification with multi-level learning bias Z ao Huang, W Xiao, Z Yang, X Li, X Wu Neurocomputing 623, 129427, 2025 | | 2025 |
| Physically Constrained Adaptive Deep Learning for Ocean Vertical-Mixing Parameterization J Fang, X Li, J Li, Z Huang, Y Yu, X Huang, X Wu Advances in Atmospheric Sciences 42 (1), 165-177, 2025 | | 2025 |
