| A survey of sparse representation: algorithms and applications Z Zhang, Y Xu, J Yang, X Li, D Zhang IEEE Access 3, 490-530, 2015 | 791 | 2015 |
| A two-phase test sample sparse representation method for use with face recognition Y Xu, D Zhang, J Yang, JY Yang IEEE Transactions on Circuits and Systems for Video Technology 21 (9), 1255-1262, 2011 | 524 | 2011 |
| Two-dimensional discriminant transform for face recognition J Yang, D Zhang, X Yong, J Yang Pattern recognition 38 (7), 1125-1129, 2005 | 371 | 2005 |
| Image retrieval based on micro-structure descriptor GH Liu, ZY Li, L Zhang, Y Xu PATTERN RECOGNITION 44 (9), 2123-2133, 2011 | 327 | 2011 |
| Nuclear norm based matrix regression with applications to face recognition with occlusion and illumination changes J Yang, L Luo, J Qian, Y Tai, F Zhang, Y Xu IEEE transactions on pattern analysis and machine intelligence 39 (1), 156-171, 2016 | 246 | 2016 |
| Mind the class weight bias: Weighted maximum mean discrepancy for unsupervised domain adaptation H Yan, Y Ding, P Li, Q Wang, Y Xu, W Zuo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 241 | 2017 |
| LPP solution schemes for use with face recognition Y Xu, A Zhong, J Yang, D Zhang Pattern Recognition 43 (12), 4165-4176, 2010 | 219 | 2010 |
| Discriminative transfer subspace learning via low-rank and sparse representation Y Xu, X Fang, J Wu, X Li, D Zhang IEEE Transactions on Image Processing 25 (2), 850-863, 2015 | 203 | 2015 |
| Sparse representation classifier steered discriminative projection with applications to face recognition J Yang, D Chu, L Zhang, Y Xu, J Yang IEEE transactions on neural networks and learning systems 24 (7), 1023-1035, 2013 | 200 | 2013 |
| Multilinear Sparse Principal Component Analysis Z Lai, Y Xu, Q Chen, J Yang, D Zhang IEEE Transactions on Neural Networks and Learning Systems 25 (10), 1942-1950, 2014 | 199 | 2014 |
| Beyond sparsity: The role of L1-optimizer in pattern classification J Yang, L Zhang, Y Xu, J Yang Pattern Recognition 45 (3), 1104-1118, 2012 | 195 | 2012 |
| Using the original and ‘symmetrical face’training samples to perform representation based two-step face recognition Y Xu, X Zhu, Z Li, G Liu, Y Lu, H Liu Pattern Recognition 46 (4), 1151-1158, 2013 | 182 | 2013 |
| Local linear discriminant analysis framework using sample neighbors Z Fan, Y Xu, D Zhang IEEE Transactions on Neural Networks 22 (7), 1119-1132, 2011 | 172 | 2011 |
| A feature extraction method for use with bimodal biometrics Y Xu, D Zhang, JY Yang Pattern recognition 43 (3), 1106-1115, 2010 | 163 | 2010 |
| Using the idea of the sparse representation to perform coarse-to-fine face recognition Y Xu, Q Zhu, Z Fan, D Zhang, J Mi, Z Lai Information sciences 238, 138-148, 2013 | 159 | 2013 |
| Approximate orthogonal sparse embedding for dimensionality reduction Z Lai, WK Wong, Y Xu, J Yang, D Zhang IEEE transactions on neural networks and learning systems 27 (4), 723-735, 2015 | 153 | 2015 |
| A method for speeding up feature extraction based on KPCA Y Xu, D Zhang, F Song, JY Yang, Z Jing, M Li Neurocomputing 70 (4-6), 1056-1061, 2007 | 153 | 2007 |
| Integrating conventional and inverse representation for face recognition Y Xu, X Li, J Yang, Z Lai, D Zhang IEEE Transactions on Cybernetics 44 (10), 1738-1746, 2014 | 150 | 2014 |
| Robust sparse linear discriminant analysis J Wen, X Fang, J Cui, L Fei, K Yan, Y Chen, Y Xu IEEE Transactions on Circuits and Systems for Video Technology 29 (2), 390-403, 2018 | 147 | 2018 |
| Background modeling methods in video analysis: A review and comparative evaluation Y Xu, J Dong, B Zhang, D Xu CAAI Transactions on Intelligence Technology 1 (1), 43-60, 2016 | 145 | 2016 |
David Zhang, DapengPresidential Chair Prof., Chinese Univ Hong Kong (SZ); Emeritus Prof., Hong Kong Polytech UnivVerified email at cuhk.edu.cn
