| An efficient federated distillation learning system for multitask time series classification H Xing, Z Xiao, R Qu, Z Zhu, B Zhao IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 155 | 2022 |
| Geometric structural ensemble learning for imbalanced problems Z Zhu, Z Wang, D Li, Y Zhu, W Du IEEE transactions on cybernetics 50 (4), 1617-1629, 2018 | 124 | 2018 |
| Deep contrastive representation learning with self-distillation Z Xiao, H Xing, B Zhao, R Qu, S Luo, P Dai, K Li, Z Zhu IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 84 | 2023 |
| CapMatch: Semi-supervised contrastive transformer capsule with feature-based knowledge distillation for human activity recognition Z Xiao, H Tong, R Qu, H Xing, S Luo, Z Zhu, F Song, L Feng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 50 | 2023 |
| Collaborative and geometric multi-kernel learning for multi-class classification Z Wang, Z Zhu, D Li Pattern Recognition 99, 107050, 2020 | 44 | 2020 |
| Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem Z Wang, Y Li, D Li, Z Zhu, W Du Knowledge-Based Systems 193, 105474, 2020 | 25 | 2020 |
| Tree-based space partition and merging ensemble learning framework for imbalanced problems Z Zhu, Z Wang, D Li, W Du Information Sciences 503, 1-22, 2019 | 16 | 2019 |
| Globalized multiple balanced subsets with collaborative learning for imbalanced data Z Zhu, Z Wang, D Li, W Du IEEE Transactions on Cybernetics 52 (4), 2407-2417, 2020 | 14 | 2020 |
| NearCount: Selecting critical instances based on the cited counts of nearest neighbors Z Zhu, Z Wang, D Li, W Du Knowledge-Based Systems 190, 105196, 2020 | 14 | 2020 |
| Balanced neighbor exploration for semi-supervised node classification on imbalanced graph data Z Zhu, H Xing, Y Xu Information Sciences 631, 31-44, 2023 | 12 | 2023 |
| Multiple empirical kernel learning with majority projection for imbalanced problems Z Zhu, Z Wang, D Li, W Du Applied Soft Computing 76, 221-236, 2019 | 10 | 2019 |
| Multiple kernel subspace learning for clustering and classification Z Chi, Z Wang, B Wang, Z Fang, Z Zhu, D Li, W Du IEEE Transactions on Knowledge and Data Engineering 35 (7), 7278-7290, 2022 | 6 | 2022 |
| Easy balanced mixing for long-tailed data Z Zhu, H Xing, Y Xu Knowledge-Based Systems 248, 108816, 2022 | 6 | 2022 |
| Multilabel convolutional network with feature denoising and details supplement T Gu, Z Wang, Z Fang, Z Zhu, H Yang, D Li, W Du IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8349-8361, 2022 | 4 | 2022 |
| Matrix-pattern-oriented classifier with boundary projection discrimination Z Wang, Z Zhu Knowledge-Based Systems 149, 1-17, 2018 | 4 | 2018 |
| Multiple partial empirical kernel learning with instance weighting and boundary fitting Z Zhu, Z Wang, D Li, W Du, Y Zhou Neural Networks 123, 26-37, 2020 | 3 | 2020 |
| Efficient matrixized classification learning with separated solution process Z Zhu, Z Wang, D Li, W Du, J Zhang Neural Computing and Applications 32, 10609-10632, 2020 | 1 | 2020 |
| FMLGLN: Fast Multi-layer Graph Linear Network Z Zhu, H Xing, Y Xu Engineering Applications of Artificial Intelligence 127, 107240, 2024 | | 2024 |
