| Diversity and consistency embedding learning for multi-view subspace clustering Y Mi, Z Ren, M Mukherjee, Y Huang, Q Sun, L Chen Applied Intelligence 51, 6771-6784, 2021 | 21 | 2021 |
| Multi-label feature selection based on stable label relevance and label-specific features Y Yang, H Chen, Y Mi, C Luo, SJ Horng, T Li Information Sciences 648, 119525, 2023 | 13 | 2023 |
| Fast multi-view subspace clustering with balance anchors guidance Y Mi, H Chen, Z Yuan, C Luo, SJ Horng, T Li Pattern Recognition 145, 109895, 2024 | 12 | 2024 |
| Multi-view clustering with dual tensors Y Mi, Z Ren, Z Xu, H Li, Q Sun, H Chen, J Dai Neural Computing and Applications 34 (10), 8027-8038, 2022 | 6 | 2022 |
| Unsupervised feature selection with high-order similarity learning Y Mi, H Chen, C Luo, SJ Horng, T Li Knowledge-Based Systems 285, 111317, 2024 | 5 | 2024 |
| Multi-view clustering via pseudo-label guide learning and latent graph structure recovery R Cai, H Chen, Y Mi, C Luo, SJ Horng, T Li Pattern Recognition 151, 110420, 2024 | 4 | 2024 |
| Multi-label Feature selection with adaptive graph learning and label information enhancement Z Qin, H Chen, Y Mi, C Luo, SJ Horng, T Li Knowledge-Based Systems 285, 111363, 2024 | 4 | 2024 |
| One-stage multi-view clustering with hierarchical attributes extraction Y Mi, J Dai, Z Ren, X You, Y Wang Cognitive Computation 15 (2), 552-564, 2023 | 3 | 2023 |
| Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA D Li, H Chen, Y Mi, C Luo, SJ Horng, T Li Information Sciences 662, 120227, 2024 | 2 | 2024 |
| Joint subspace reconstruction and label correlation for multi-label feature selection Z Wang, H Chen, Y Mi, C Luo, SJ Horng, T Li Applied Intelligence 54 (1), 1117-1143, 2024 | 1 | 2024 |
| Joint sparse latent representation learning and dual manifold regularization for unsupervised feature selection M Huang, H Chen, Y Mi, C Luo, SJ Horng, T Li Knowledge-Based Systems 282, 111105, 2023 | 1 | 2023 |
| Multi-view clustering via double spaces structure learning and adaptive multiple projection regression learning R Cai, H Chen, Y Mi, T Li, C Luo, SJ Horng Information Sciences 688, 121396, 2025 | | 2025 |
| Feature-guided multi-view clustering by jointing local subspace label learning and global label learning R Cai, H Chen, Y Mi, C Luo, SJ Horng, T Li Expert Systems with Applications 252, 124191, 2024 | | 2024 |
| Dual space-based fuzzy graphs and orthogonal basis clustering for unsupervised feature selection D Li, H Chen, Y Mi, C Luo, SJ Horng, T Li Pattern Recognition, 110683, 2024 | | 2024 |
| Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration Y Yang, H Chen, Y Mi, C Luo, SJ Horng, T Li Expert Systems with Applications 242, 122730, 2024 | | 2024 |
| Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness H Liao, H Chen, Y Mi, C Luo, SJ Horng, T Li Information Sciences 666, 120454, 2024 | | 2024 |
| Dynamic Optimal Graph Learning for Unsupervised Feature Selection Y Mi, H Chen, B Xiang, T Li 2023 3rd International Conference on Digital Society and Intelligent Systems …, 2023 | | 2023 |
