| Weight matrix sharing for multi-label learning K Qian, XY Min, Y Cheng, F Min Pattern Recognition 136, 109156, 2023 | 24 | 2023 |
| Missing multi-label learning with non-equilibrium based on classification margin Y Cheng, K Qian, Y Wang, D Zhao Applied Soft Computing 86, 105924, 2020 | 23 | 2020 |
| Multi-label active learning through serial–parallel neural networks XY Min, K Qian, BW Zhang, G Song, F Min Knowledge-Based Systems 251, 109226, 2022 | 12 | 2022 |
| Global and local attention-based multi-label learning with missing labels Y Cheng, K Qian, F Min Information Sciences 594, 20-42, 2022 | 12 | 2022 |
| Self-dependence multi-label learning with double k for missing labels K Qian, XY Min, Y Cheng, G Song, F Min Artificial Intelligence Review 56 (6), 5057-5094, 2023 | 7 | 2023 |
| Missing multi-label learning with non-equilibrium based on two-level autoencoder Y Cheng, F Song, K Qian Applied Intelligence 51 (10), 6997-7015, 2021 | 7 | 2021 |
| Multi-label lazy learning approach based on firefly method Y CHENG, K QIAN, Y WANG, D ZHAO Journal of Computer Applications 39 (5), 1305, 2019 | 6 | 2019 |
| Multi-label feature selection algorithm based on conditional mutual information of expert feature Y CHENG, F SONG, Y WANG, K QIAN Journal of Computer Applications 40 (2), 503, 2020 | 2 | 2020 |
| Multi-label Feature Extraction With Distance-Based Graph Attention Network Y Peng, K Qian, G Song, F Min International Joint Conference on Rough Sets, 203-216, 2022 | 1 | 2022 |
| 近邻标签空间非平衡化标签补全的多标签学习 程玉胜， 赵大卫， 钱坤 模式识别与人工智能 31 (8), 740-749, 2018 | 1 | 2018 |
| Semi-supervised regression via embedding space mapping and pseudo-label smearing L Liu, J Zhang, K Qian, F Min Applied Intelligence 54 (20), 9622-9640, 2024 | | 2024 |
| 基于核极限学习机自编码器的标记分布学习 王一宾， 李田力， 程玉胜， 钱坤 山东大学学报 (工学版) 50 (3), 58-65, 2020 | | 2020 |
cheng yushengAnqing Normal University在 aqnu.edu.cn 的电子邮件经过验证
