| Neighborhood rough set based heterogeneous feature subset selection Q Hu, D Yu, J Liu, C Wu Information sciences 178 (18), 3577-3594, 2008 | 863 | 2008 |
| Neighborhood classifiers Q Hu, D Yu, Z Xie Expert systems with applications 34 (2), 866-876, 2008 | 490 | 2008 |
| Information-preserving hybrid data reduction based on fuzzy-rough techniques Q Hu, D Yu, Z Xie Pattern recognition letters 27 (5), 414-423, 2006 | 461 | 2006 |
| Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation Q Hu, Z Xie, D Yu Pattern recognition 40 (12), 3509-3521, 2007 | 443 | 2007 |
| A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets C Degang, W Changzhong, H Qinghua Information Sciences 177 (17), 3500-3518, 2007 | 413 | 2007 |
| Progressive image deraining networks: A better and simpler baseline D Ren, W Zuo, Q Hu, P Zhu, D Meng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 369 | 2019 |
| Transfer learning for short-term wind speed prediction with deep neural networks Q Hu, R Zhang, Y Zhou Renewable Energy 85, 83-95, 2016 | 336 | 2016 |
| Generalized latent multi-view subspace clustering C Zhang, H Fu, Q Hu, X Cao, Y Xie, D Tao, D Xu IEEE transactions on pattern analysis and machine intelligence 42 (1), 86-99, 2018 | 294 | 2018 |
| Vision meets drones: A challenge P Zhu, L Wen, X Bian, H Ling, Q Hu arXiv preprint arXiv:1804.07437, 2018 | 288 | 2018 |
| Latent multi-view subspace clustering C Zhang, Q Hu, H Fu, P Zhu, X Cao Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 267 | 2017 |
| Fuzzy probabilistic approximation spaces and their information measures Q Hu, D Yu, Z Xie, J Liu IEEE transactions on fuzzy systems 14 (2), 191-201, 2006 | 267 | 2006 |
| Unsupervised feature selection by regularized self-representation P Zhu, W Zuo, L Zhang, Q Hu, SCK Shiu Pattern Recognition 48 (2), 438-446, 2015 | 242 | 2015 |
| Selecting discrete and continuous features based on neighborhood decision error minimization Q Hu, W Pedrycz, D Yu, J Lang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009 | 241 | 2009 |
| Mixed feature selection based on granulation and approximation Q Hu, J Liu, D Yu Knowledge-Based Systems 21 (4), 294-304, 2008 | 239 | 2008 |
| Multi-scale patch based collaborative representation for face recognition with margin distribution optimization P Zhu, L Zhang, Q Hu, SCK Shiu European Conference on Computer Vision, 822-835, 2012 | 213 | 2012 |
| Gaussian kernel based fuzzy rough sets: model, uncertainty measures and applications Q Hu, L Zhang, D Chen, W Pedrycz, D Yu International Journal of Approximate Reasoning 51 (4), 453-471, 2010 | 200 | 2010 |
| A fitting model for feature selection with fuzzy rough sets C Wang, Y Qi, M Shao, Q Hu, D Chen, Y Qian, Y Lin IEEE Transactions on Fuzzy Systems 25 (4), 741-753, 2016 | 180 | 2016 |
| Numerical attribute reduction based on neighborhood granulation and rough approximation QH Hu, DR Yu, ZX Xie Journal of software 19 (3), 640-649, 2008 | 179 | 2008 |
| Feature selection with test cost constraint F Min, Q Hu, W Zhu International Journal of Approximate Reasoning 55 (1), 167-179, 2014 | 177 | 2014 |
| Rank entropy-based decision trees for monotonic classification Q Hu, X Che, L Zhang, D Zhang, M Guo, D Yu IEEE Transactions on Knowledge and Data Engineering 24 (11), 2052-2064, 2011 | 171 | 2011 |
Pengfei ZhuAssociate Professor, College of Computing , Tianjin UniversityVerified email at tju.edu.cn
