Recent advances in feature selection and its applications Y Li, T Li, H Liu Knowledge and Information Systems 53, 551-577, 2017 | 396 | 2017 |
Feature selection based on loss-margin of nearest neighbor classification Y Li, BL Lu Pattern Recognition 42 (9), 1914-1921, 2009 | 75 | 2009 |
FREL: A stable feature selection algorithm Y Li, J Si, G Zhou, S Huang, S Chen IEEE transactions on neural networks and learning systems 26 (7), 1388-1402, 2014 | 74 | 2014 |
基于 CP-ABE 算法的云存储数据访问控制 孙国梓, 董宇, 李云 通信学报 32 (7), 146-152, 2011 | 45 | 2011 |
Fuzzy feature selection based on min–max learning rule and extension matrix Y Li, ZF Wu Pattern Recognition 41 (1), 217-226, 2008 | 38 | 2008 |
A hybrid method of unsupervised feature selection based on ranking Y Li, BL Lu, ZF Wu 18th International Conference on Pattern Recognition (ICPR'06) 2, 687-690, 2006 | 36 | 2006 |
Ensemble feature weighting based on local learning and diversity Y Li, S Gao, S Chen Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1019-1025, 2012 | 28 | 2012 |
Graph-margin based multi-label feature selection P Yan, Y Li Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 20 | 2016 |
Differentially private feature selection J Yang, Y Li 2014 International Joint Conference on Neural Networks (IJCNN), 4182-4189, 2014 | 20 | 2014 |
Local learning-based feature weighting with privacy preservation Y Li, J Yang, W Ji Neurocomputing 174, 1107-1115, 2016 | 17 | 2016 |
Efficient feature selection for high-dimensional data using two-level filter Y Li, ZF Wu, JM Liu, YY Tang Proceedings of 2004 International Conference on Machine Learning and …, 2004 | 15 | 2004 |
Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs Y Wang, B Xia, Z Liu, Y Li, T Li 2017 12th International Conference on Intelligent Systems and Knowledge …, 2017 | 12 | 2017 |
Internet traffic classification based on min-max ensemble feature selection Y Huang, Y Li, B Qiang 2016 International Joint Conference on Neural Networks (IJCNN), 3485-3492, 2016 | 12 | 2016 |
The application of deep learning in biomedical informatics S Wang, L Fu, J Yao, Y Li 2018 International Conference on Robots & Intelligent System (ICRIS), 391-394, 2018 | 11 | 2018 |
A supervised link prediction method for dynamic networks KJ Chen, Y Chen, Y Li, J Han Journal of Intelligent & Fuzzy Systems 31 (1), 291-299, 2016 | 11 | 2016 |
Hierarchical fuzzy filter method for unsupervised feature selection Y Li, BL Lu, ZF Wu Journal of Intelligent & Fuzzy Systems 18 (2), 157-169, 2007 | 11 | 2007 |
Energy-based feature ranking for assessing the dysphonia measurements in Parkinson detection W Ji, Y Li IET signal processing 6 (4), 300-305, 2012 | 10 | 2012 |
A link prediction method that can learn from network dynamics Y Chen, KJ Chen, Y Li 2014 IEEE International Conference on Data Mining Workshop, 549-553, 2014 | 9 | 2014 |
HALLP: A Hybrid Active Learning Approach to Link Prediction Task. KJ Chen, J Han, Y Li J. Comput. 9 (3), 551-556, 2014 | 9 | 2014 |
SC-NER: A sequence-to-sequence model with sentence classification for named entity recognition Y Wang, Y Li, Z Zhu, B Xia, Z Liu Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 8 | 2019 |