Qinghua Hu
Qinghua Hu
Professor of Computer Science, Tianjin University
Verified email at - Homepage
Cited by
Cited by
Neighborhood rough set based heterogeneous feature subset selection
Q Hu, D Yu, J Liu, C Wu
Information sciences 178 (18), 3577-3594, 2008
Neighborhood classifiers
Q Hu, D Yu, Z Xie
Expert systems with applications 34 (2), 866-876, 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
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
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
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
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
Transfer learning for short-term wind speed prediction with deep neural networks
Q Hu, R Zhang, Y Zhou
Renewable Energy 85, 83-95, 2016
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
Vision meets drones: A challenge
P Zhu, L Wen, X Bian, H Ling, Q Hu
arXiv preprint arXiv:1804.07437, 2018
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
Unsupervised feature selection by regularized self-representation
P Zhu, W Zuo, L Zhang, Q Hu, SCK Shiu
Pattern Recognition 48 (2), 438-446, 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
Mixed feature selection based on granulation and approximation
Q Hu, J Liu, D Yu
Knowledge-Based Systems 21 (4), 294-304, 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
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
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
Numerical attribute reduction based on neighborhood granulation and rough approximation
胡清华, 于达仁, 谢宗霞
Journal of software 19 (3), 640-649, 2008
Multi-label feature selection based on max-dependency and min-redundancy
Y Lin, Q Hu, J Liu, J Duan
Neurocomputing 168, 92-103, 2015
Feature selection with test cost constraint
F Min, Q Hu, W Zhu
International Journal of Approximate Reasoning 55 (1), 167-179, 2014
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