| Feature-specific mutual information variation for multi-label feature selection L Hu, L Gao, Y Li, P Zhang, W Gao Information Sciences 593, 449-471, 2022 | 68 | 2022 |
| Multi-label feature selection with shared common mode L Hu, Y Li, W Gao, P Zhang, J Hu Pattern Recognition 104, 107344, 2020 | 68 | 2020 |
| Robust multi-label feature selection with dual-graph regularization J Hu, Y Li, W Gao, P Zhang Knowledge-Based Systems 203, 106126, 2020 | 63 | 2020 |
| Multilabel feature selection with constrained latent structure shared term W Gao, Y Li, L Hu IEEE Transactions on Neural Networks and Learning Systems 34 (3), 1253-1262, 2021 | 56 | 2021 |
| Multi-label feature selection via robust flexible sparse regularization Y Li, L Hu, W Gao Pattern Recognition 134, 109074, 2023 | 41 | 2023 |
| Multi-label feature selection based on the division of label topics P Zhang, W Gao, J Hu, Y Li Information Sciences 553, 129-153, 2021 | 33 | 2021 |
| Dynamic subspace dual-graph regularized multi-label feature selection J Hu, Y Li, G Xu, W Gao Neurocomputing 467, 184-196, 2022 | 30 | 2022 |
| Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation Y Li, L Hu, W Gao Pattern Recognition 134, 109120, 2023 | 26 | 2023 |
| Label correlations variation for robust multi-label feature selection Y Li, L Hu, W Gao Information Sciences 609, 1075-1097, 2022 | 20 | 2022 |
| Multi-label feature selection based on high-order label correlation assumption P Zhang, W Gao, J Hu, Y Li Entropy 22 (7), 797, 2020 | 19 | 2020 |
| Preserving similarity and staring decisis for feature selection W Gao, L Hu, Y Li, P Zhang IEEE Transactions on Artificial Intelligence 2 (6), 584-593, 2021 | 16 | 2021 |
| Feature redundancy based on interaction information for multi-label feature selection W Gao, J Hu, Y Li, P Zhang IEEE Access 8, 146050-146064, 2020 | 14 | 2020 |
| A conditional-weight joint relevance metric for feature relevancy term P Zhang, W Gao, J Hu, Y Li Engineering Applications of Artificial Intelligence 106, 104481, 2021 | 13 | 2021 |
| Multi-label feature selection method based on dynamic weight P Zhang, J Sheng, W Gao, J Hu, Y Li Soft Computing 26 (6), 2793-2805, 2022 | 7 | 2022 |
| Robust multi-label feature selection with shared label enhancement Y Li, J Hu, W Gao Knowledge and Information Systems 64 (12), 3343-3372, 2022 | 5 | 2022 |
| Multi-label feature selection with high-sparse personalized and low-redundancy shared common features Y Li, L Hu, W Gao Information Processing & Management 61 (3), 103633, 2024 | 3 | 2024 |
| Multi-label feature selection combining three types of conditional relevance L Gao, Y Wang, Y Li, P Zhang, L Hu Entropy 23 (12), 1617, 2021 | 1 | 2021 |
| 基于动态图拉普拉斯的多标签特征选择 李永豪， 胡亮， 张平， 高万夫 通信学报 41 (12), 47-59, 2020 | 1 | 2020 |
| 基于稀疏系数矩阵重构的多标记特征选择 李永豪， 胡亮， 高万夫 计算机学报 45 (9), 1827-1841, 2022 | | 2022 |
| Information-theoretic feature selection based on the Weight of the New Classification Information C Li, L Hu, Y Li, P Zhang 2022 2nd International Conference on Consumer Electronics and Computer …, 2022 | | 2022 |
Wanfu GaoCollege of Computer Science and Technology, Jilin University在 jlu.edu.cn 的电子邮件经过验证
Wanfu GaoCollege of Computer Science and Technology, Jilin University在 jlu.edu.cn 的电子邮件经过验证
Ping ZhangHebei University of Technology在 hebut.edu.cn 的电子邮件经过验证