| Knowledge distillation: A survey J Gou, B Yu, SJ Maybank, D Tao International Journal of Computer Vision 129, 1789-1819, 2021 | 1636 | 2021 |
| A generalized mean distance-based k-nearest neighbor classifier* J Gou, H Ma, W Ou, S Zeng, Y Rao, H Yang Expert Systems with Applications 115, 356-372, 2019 | 295 | 2019 |
| A new distance-weighted k-nearest neighbor classifier J Gou, L Du, Y Zhang, T Xiong J. Inf. Comput. Sci 9 (6), 1429-1436, 2012 | 274 | 2012 |
| A Novel Weighted Voting for K-Nearest Neighbor Rule. J Gou, T Xiong, Y Kuang J. Comput. 6 (5), 833-840, 2011 | 111 | 2011 |
| A local mean-based k-nearest centroid neighbor classifier J Gou, Z Yi, L Du, T Xiong The Computer Journal 55 (9), 1058-1071, 2012 | 100 | 2012 |
| Improved pseudo nearest neighbor classification J Gou, Y Zhan, Y Rao, X Shen, X Wang, W He Knowledge-Based Systems 70, 361-375, 2014 | 83 | 2014 |
| Locality constrained representation-based K-nearest neighbor classification J Gou, W Qiu, Z Yi, X Shen, Y Zhan, W Ou Knowledge-Based Systems 167, 38-52, 2019 | 76 | 2019 |
| A Local Mean Representation-based K-Nearest Neighbor Classifier J Gou, W Qiu, Z Yi, Y Xu, Q Mao, Y Zhan ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 1-25, 2019 | 61 | 2019 |
| Robust discriminative nonnegative dictionary learning for occluded face recognition W Ou, X Luan, J Gou, Q Zhou, W Xiao, X Xiong, W Zeng Pattern Recognition Letters 107, 41-49, 2018 | 57 | 2018 |
| Sparse Coefficient-Based -Nearest Neighbor Classification H Ma, J Gou, X Wang, J Ke, S Zeng IEEE access 5, 16618-16634, 2017 | 57 | 2017 |
| An antinoise sparse representation method for robust face recognition via joint l1 and l2 regularization S Zeng, J Gou, L Deng Expert Systems with Applications 82, 1-9, 2017 | 56 | 2017 |
| Learning emotion-discriminative and domain-invariant features for domain adaptation in speech emotion recognition Q Mao, G Xu, W Xue, J Gou, Y Zhan Speech Communication 93, 1-10, 2017 | 53 | 2017 |
| Improving sparsity of coefficients for robust sparse and collaborative representation-based image classification S Zeng, J Gou, X Yang Neural Computing and Applications 30, 2965-2978, 2018 | 46 | 2018 |
| Discriminative globality and locality preserving graph embedding for dimensionality reduction J Gou, Y Yang, Z Yi, J Lv, Q Mao, Y Zhan Expert Systems with Applications 144, 1-15, 2020 | 43 | 2020 |
| Large-scale support vector machine classification with redundant data reduction XJ Shen, L Mu, Z Li, HX Wu, JP Gou, X Chen Neurocomputing 172, 189-197, 2016 | 43 | 2016 |
| Weighted discriminative collaborative competitive representation for robust image classification J Gou, L Wang, Z Yi, Y Yuan, W Ou, Q Mao Neural Networks 125, 104-120, 2020 | 41 | 2020 |
| Multilevel Attention-Based Sample Correlations for Knowledge Distillation J Gou, L Sun, B Yu, S Wan, W Ou, Z Yi IEEE Transactions on Industrial Informatics 19 (5), 7099-7109, 2022 | 35 | 2022 |
| Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification S Zeng, B Zhang, J Gou, Y Xu IEEE transactions on cybernetics, 2020 | 34 | 2020 |
| Two-phase probabilistic collaborative representation-based classification J Gou, L Wang, B Hou, J Lv, Y Yuan, Q Mao Expert Systems with Applications 133, 9-20, 2019 | 34 | 2019 |
| Two-phase linear reconstruction measure-based classification for face recognition J Gou, Y Xu, D Zhang, Q Mao, L Du, Y Zhan Information Sciences 433, 17-36, 2018 | 33 | 2018 |
Weihua OuGuizhou Normal UniversityVerified email at hust.edu.cn
