Mutual information-based label distribution feature selection for multi-label learning W Qian, J Huang, Y Wang, W Shu Knowledge-Based Systems 195, 105684, 2020 | 64 | 2020 |
Label distribution feature selection for multi-label classification with rough set W Qian, J Huang, Y Wang, Y Xie International journal of approximate reasoning 128, 32-55, 2021 | 59 | 2021 |
Feature selection based on label distribution and fuzzy mutual information C Xiong, W Qian, Y Wang, J Huang Information Sciences 574, 297-319, 2021 | 54 | 2021 |
A survey on multi-label feature selection from perspectives of label fusion W Qian, J Huang, F Xu, W Shu, W Ding Information Fusion 100, 101948, 2023 | 40 | 2023 |
Accurate and efficient large-scale multi-label learning with reduced feature broad learning system using label correlation J Huang, CM Vong, CLP Chen, Y Zhou IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10240-10253, 2022 | 28 | 2022 |
A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning W Qian, F Xu, J Huang, J Qian Knowledge-Based Systems 278, 110898, 2023 | 23 | 2023 |
Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index W Qian, P Dong, S Dai, J Huang, Y Wang Applied Soft Computing 130, 109693, 2022 | 14 | 2022 |
Local rough set-based feature selection for label distribution learning with incomplete labels W Qian, P Dong, Y Wang, S Dai, J Huang International Journal of Machine Learning and Cybernetics 13 (8), 2345-2364, 2022 | 14 | 2022 |
Joint label enhancement and label distribution learning via stacked graph regularization-based polynomial fuzzy broad learning system J Huang, CM Vong, G Wang, W Qian, Y Zhou, CLP Chen IEEE Transactions on Fuzzy Systems 31 (9), 3290-3304, 2023 | 13 | 2023 |
Multi-label feature selection via label enhancement and analytic hierarchy process J Huang, W Qian, CM Vong, W Ding, W Shu, Q Huang IEEE Transactions on Emerging Topics in Computational Intelligence 7 (5 …, 2023 | 13 | 2023 |
Relevance-based label distribution feature selection via convex optimization W Qian, Q Ye, Y Li, J Huang, S Dai Information Sciences 607, 322-345, 2022 | 11 | 2022 |
Label correlations-based multi-label feature selection with label enhancement W Qian, Y Xiong, W Ding, J Huang, CM Vong Engineering Applications of Artificial Intelligence 127, 107310, 2024 | 10 | 2024 |
Granular ball-based label enhancement for dimensionality reduction in multi-label data W Qian, W Ruan, Y Li, J Huang Applied Intelligence 53 (20), 24008-24033, 2023 | 9 | 2023 |
Partial multilabel learning using noise-tolerant broad learning system with label enhancement and dimensionality reduction W Qian, Y Tu, J Huang, W Shu, YM Cheung IEEE Transactions on Neural Networks and Learning Systems, 2024 | 6 | 2024 |
Partial multi-label learning via robust feature selection and relevance fusion optimization W Qian, Y Tu, J Huang, W Ding Knowledge-Based Systems 286, 111365, 2024 | 5 | 2024 |
Online label distribution learning using random vector functional-link network J Huang, CM Vong, W Qian, Q Huang, Y Zhou IEEE Transactions on Emerging Topics in Computational Intelligence 7 (4 …, 2022 | 5 | 2022 |
Label distribution feature selection based on hierarchical structure and neighborhood granularity X Lu, W Qian, S Dai, J Huang Information Fusion 112, 102588, 2024 | 4 | 2024 |
Cost-Sensitive Feature Selection Based on Label Significance and Positive Region J Huang, W Qian, B Wu, Y Wang 2019 International Conference on Machine Learning and Cybernetics (ICMLC), 1-7, 2019 | 4 | 2019 |
Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity W Qian, Y Li, Q Ye, S Xia, J Huang, W Ding IEEE Transactions on Knowledge and Data Engineering, 2024 | 3 | 2024 |
Incremental attribute reduction method for incomplete hybrid data with variable precision Y Wang, Q Zeng, W Qian, W Shu, J Huang Journal of Computer Applications 38 (10), 2764-2771, 2018 | 3 | 2018 |