| Minimum cost attribute reduction in decision-theoretic rough set models X Jia, W Liao, Z Tang, L Shang Information Sciences 219, 151-167, 2013 | 273 | 2013 |
| Inductive hashing on manifolds F Shen, C Shen, Q Shi, A Van Den Hengel, Z Tang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 273 | 2013 |
| Non-salient region object mining for weakly supervised semantic segmentation Y Yao, T Chen, GS Xie, C Zhang, F Shen, Q Wu, Z Tang, J Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 187 | 2021 |
| Hashing on nonlinear manifolds F Shen, C Shen, Q Shi, A Van den Hengel, Z Tang, HT Shen IEEE Transactions on Image Processing 24 (6), 1839-1851, 2015 | 164 | 2015 |
| On an optimization representation of decision-theoretic rough set model X Jia, Z Tang, W Liao, L Shang International Journal of Approximate Reasoning 55 (1), 156-166, 2014 | 163 | 2014 |
| Jo-src: A contrastive approach for combating noisy labels Y Yao, Z Sun, C Zhang, F Shen, Q Wu, J Zhang, Z Tang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 141 | 2021 |
| A theorem on the uncorrelated optimal discriminant vectors Z Jin, JY Yang, ZM Tang, ZS Hu Pattern Recognition 34 (10), 2041-2047, 2001 | 141 | 2001 |
| Hierarchical initialization approach for K-Means clustering JF Lu, JB Tang, ZM Tang, JY Yang Pattern Recognition Letters 29 (6), 787-795, 2008 | 118 | 2008 |
| Exploiting web images for dataset construction: A domain robust approach Y Yao, J Zhang, F Shen, X Hua, J Xu, Z Tang IEEE Transactions on Multimedia 19 (8), 1771-1784, 2017 | 99 | 2017 |
| Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling DJ Yu, J Hu, ZM Tang, HB Shen, J Yang, JY Yang Neurocomputing 104, 180-190, 2013 | 90 | 2013 |
| Long-term trends in loblolly pine productivity and stand characteristics in response to thinning and fertilization in the West Gulf region MAS Sayer, JCG Goelz, JL Chambers, Z Tang, TJ Dean, JD Haywood, ... Forest Ecology and Management 192 (1), 71-96, 2004 | 88 | 2004 |
| Thinning, fertilization, and crown position interact to control physiological responses of loblolly pine Z Tang, JL Chambers, S Guddanti, JP Barmett Tree Physiology 19 (2), 87-94, 1999 | 85 | 1999 |
| WLBP: Weber local binary pattern for local image description F Liu, Z Tang, J Tang Neurocomputing 120, 325-335, 2013 | 82 | 2013 |
| TargetATPsite: A template‐free method for ATP‐binding sites prediction with residue evolution image sparse representation and classifier ensemble DJ Yu, J Hu, Y Huang, HB Shen, Y Qi, ZM Tang, JY Yang Journal of computational chemistry 34 (11), 974-985, 2013 | 78 | 2013 |
| Feature affinity-based pseudo labeling for semi-supervised person re-identification G Ding, S Zhang, S Khan, Z Tang, J Zhang, F Porikli IEEE Transactions on Multimedia 21 (11), 2891-2902, 2019 | 76 | 2019 |
| Towards better validity: Dispersion based clustering for unsupervised person re-identification G Ding, S Khan, Z Tang, J Zhang, F Porikli arXiv preprint arXiv:1906.01308, 2019 | 72 | 2019 |
| Pavement crack detection based on saliency and statistical features W Xu, Z Tang, J Zhou, J Ding 2013 IEEE International Conference on Image Processing, 4093-4097, 2013 | 70 | 2013 |
| Modified particle filter-based infrared pedestrian tracking X Wang, Z Tang Infrared Physics & Technology 53 (4), 280-287, 2010 | 69 | 2010 |
| PLDA modeling in i-vector and supervector space for speaker verification Y Jiang, KA Lee, Z Tang, B Ma, A Larcher, H Li Annual Conference of the International Speech Communication Association …, 2012 | 66 | 2012 |
| Web-supervised network with softly update-drop training for fine-grained visual classification C Zhang, Y Yao, H Liu, GS Xie, X Shu, T Zhou, Z Zhang, F Shen, Z Tang Proceedings of the AAAI conference on artificial intelligence 34 (07), 12781 …, 2020 | 64 | 2020 |
