Qinghua Hu
Qinghua Hu
Professor of Computer Science, Tianjin University
Verifierad e-postadress på tju.edu.cn - Startsida
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Citeras av
ECA-Net: Efficient channel attention for deep convolutional neural networks
Q Wang, B Wu, P Zhu, P Li, W Zuo, Q Hu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Neighborhood rough set based heterogeneous feature subset selection
Q Hu, D Yu, J Liu, C Wu
Information sciences 178 (18), 3577-3594, 2008
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
Enhancing geometric factors in model learning and inference for object detection and instance segmentation
Z Zheng, P Wang, D Ren, W Liu, R Ye, Q Hu, W Zuo
IEEE transactions on cybernetics 52 (8), 8574-8586, 2021
Neighborhood classifiers
Q Hu, D Yu, Z Xie
Expert systems with applications 34 (2), 866-876, 2008
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
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
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Q Hu, D Yu, Z Xie
Pattern recognition letters 27 (5), 414-423, 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
Transfer learning for short-term wind speed prediction with deep neural networks
Q Hu, R Zhang, Y Zhou
Renewable Energy 85, 83-95, 2016
Vision meets drones: A challenge
P Zhu, L Wen, X Bian, H Ling, Q Hu
arXiv preprint arXiv:1804.07437, 2018
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
Detection and tracking meet drones challenge
P Zhu, L Wen, D Du, X Bian, H Fan, Q Hu, H Ling
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7380 …, 2021
VisDrone-DET2019: The vision meets drone object detection in image challenge results
D Du, P Zhu, L Wen, X Bian, H Lin, Q Hu, T Peng, J Zheng, X Wang, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Unsupervised feature selection by regularized self-representation
P Zhu, W Zuo, L Zhang, Q Hu, SCK Shiu
Pattern Recognition 48 (2), 438-446, 2015
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
Neural blind deconvolution using deep priors
D Ren, K Zhang, Q Wang, Q Hu, W Zuo
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mixed feature selection based on granulation and approximation
Q Hu, J Liu, D Yu
Knowledge-Based Systems 21 (4), 294-304, 2008
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
Feature selection based on neighborhood discrimination index
C Wang, Q Hu, X Wang, D Chen, Y Qian, Z Dong
IEEE transactions on neural networks and learning systems 29 (7), 2986-2999, 2017
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