| Unsupervised Feature Selection by Regularized Self-representation P Zhu, W Zuo, L Zhang, SS Q. Hu Pattern Recognition, 2014 | 219 | 2014 |
| Vision meets drones: A challenge P Zhu, L Wen, X Bian, H Ling, Q Hu arXiv preprint arXiv:1804.07437, 2018 | 212 | 2018 |
| 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 | 211 | 2019 |
| Multi-scale Patch based Collaborative Representation for Face Recognition with Margin Distribution Optimization P Zhu, L Zhang, Q Hu, SCK Shiu ECCV 2012, 2012 | 202 | 2012 |
| 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 | 186 | 2017 |
| Face Recognition based on Regularized Nearest Points between Image Sets M Yang, P Zhu, L Van Gool, L Zhang FG2013, 2013 | 177 | 2013 |
| From Point to Set: Extend the Learning of Distance Metrics P Zhu, L Zhang, W Zuo, D Zhang ICCV 2013, 2013 | 138 | 2013 |
| Subspace clustering guided unsupervised feature selection P Zhu, W Zhu, Q Hu, C Zhang, W Zuo Pattern Recognition 66, 364-374, 2017 | 137 | 2017 |
| A Novel Algorithm of Finding Reducts with Fuzzy Rough Set C Degang, L Zhang, S Zhao, Q Hu, P Zhu Fuzzy Systems, IEEE Transactions on, 1-1, 2011 | 133* | 2011 |
| Image set-based collaborative representation for face recognition P Zhu, W Zuo, L Zhang, SCK Shiu, D Zhang IEEE transactions on information forensics and security 9 (7), 1120-1132, 2014 | 131 | 2014 |
| Rule learning for classification based on neighborhood covering reduction Y Du, Q Hu, P Zhu, P Ma Information Sciences, 2011 | 115 | 2011 |
| One-step multi-view spectral clustering X Zhu, S Zhang, W He, R Hu, C Lei, P Zhu IEEE Transactions on Knowledge and Data Engineering 31 (10), 2022-2034, 2018 | 95 | 2018 |
| Multi-label feature selection with missing labels P Zhu, Q Xu, Q Hu, C Zhang, H Zhao Pattern Recognition 74, 488-502, 2018 | 93 | 2018 |
| Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model Y Wang, Q Hu, D Meng, P Zhu Applied energy 208, 1097-1112, 2017 | 78 | 2017 |
| Local generic representation for face recognition with single sample per person P Zhu, M Yang, L Zhang, IY Lee Asian Conference on Computer Vision, 34-50, 2014 | 72 | 2014 |
| Vision meets drones: Past, present and future P Zhu, L Wen, D Du, X Bian, Q Hu, H Ling arXiv preprint arXiv:2001.06303, 2020 | 71 | 2020 |
| Flexible multi-view dimensionality co-reduction C Zhang, H Fu, Q Hu, P Zhu, X Cao IEEE Transactions on Image Processing 26 (2), 648-659, 2016 | 71 | 2016 |
| Joint representation and pattern learning for robust face recognition M Yang, P Zhu, F Liu, L Shen neurocomputing 168, 70-80, 2015 | 66 | 2015 |
| Visdrone-det2018: The vision meets drone object detection in image challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, Q Nie, H Cheng, C Liu, X Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 55 | 2018 |
| Rule Extraction from Support Vector Machines based on Consistent Region Covering Reduction P Zhua, Q Hua Knowledge-Based System, 2013 | 53 | 2013 |
Qinghua HuProfessor of Computer Science, Tianjin UniversityVerified email at tju.edu.cn
