| A smoothing trust-region Newton-CG method for minimax problem Y Feng, L Hongwei, Z Shuisheng, L Sanyang Applied Mathematics and Computation 199 (2), 581-589, 2008 | 75 | 2008 |
| Sparse LSSVM in primal using Cholesky factorization for large-scale problems S Zhou IEEE transactions on neural networks and learning systems 27 (4), 783-795, 2015 | 69 | 2015 |
| Sparse algorithm for robust LSSVM in primal space L Chen, S Zhou Neurocomputing 275, 2880-2891, 2018 | 57 | 2018 |
| A new membership scaling fuzzy C-means clustering algorithm S Zhou, D Li, Z Zhang, R Ping IEEE transactions on fuzzy systems 29 (9), 2810-2818, 2020 | 52 | 2020 |
| Variant of Gaussian kernel and parameter setting method for nonlinear SVM SS Zhou, HW Liu, F Ye Neurocomputing 72 (13-15), 2931-2937, 2009 | 32 | 2009 |
| Improved fuzzy c-means clustering by varying the fuzziness parameter Y Chen, S Zhou, X Zhang, D Li, C Fu Pattern Recognition Letters 157, 60-66, 2022 | 20 | 2022 |
| Bilateral angle 2DPCA for face recognition S Zhou, D Zhang IEEE Signal Processing Letters 26 (2), 317-321, 2018 | 20 | 2018 |
| Large scale classification with local diversity AdaBoost SVM algorithm C Tiantian, L Hongwei, Z Shuisheng Journal of Systems engineering and electronics 20 (6), 1344-1350, 2009 | 19 | 2009 |
| Efficient nearest neighbor query based on extended B+-tree in high-dimensional space J Cui, Z An, Y Guo, S Zhou Pattern Recognition Letters 31 (12), 1740-1748, 2010 | 17 | 2010 |
| New smoothing SVM algorithm with tight error bound and efficient reduced techniques S Zhou, J Cui, F Ye, H Liu, Q Zhu Computational Optimization and Applications 56 (3), 599-617, 2013 | 16 | 2013 |
| Efficient high-dimensional indexing by sorting principal component J Cui, S Zhou, J Sun Pattern recognition letters 28 (16), 2412-2418, 2007 | 16 | 2007 |
| Semismooth Newton support vector machine S Zhou, H Liu, L Zhou, F Ye Pattern Recognition Letters 28 (15), 2054-2062, 2007 | 16 | 2007 |
| Unified SVM algorithm based on LS-DC loss S Zhou, W Zhou Machine Learning 112 (8), 2975-3002, 2023 | 15 | 2023 |
| Kernelization of matrix updates, when and how? MK Warmuth, W Kotłowski, S Zhou Theoretical Computer Science 558, 159-178, 2014 | 15 | 2014 |
| Cost sensitive random forces classification algorithm for highly unbalanced data R Ping, SS Zhou, D Li Pattern recognition and artificial intelligence 33 (3), 249-257, 2020 | 14 | 2020 |
| 一种新的混合核函数支持向量机 刘明， 周水生， 吴慧 计算机应用 29 (B12), 167-168, 2009 | 13 | 2009 |
| Fast kernel k-means clustering using incomplete Cholesky factorization L Chen, S Zhou, J Ma, M Xu Applied Mathematics and Computation 402, 126037, 2021 | 12 | 2021 |
| Discriminative least squares regression for multiclass classification based on within-class scatter minimization J Ma, S Zhou Applied Intelligence 52 (1), 622-635, 2022 | 11 | 2022 |
| A sparse robust model for large scale multi-class classification based on K-SVCR J Ma, S Zhou, L Chen, W Wang, Z Zhang Pattern Recognition Letters 117, 16-23, 2019 | 11 | 2019 |
| The k-sparse LSR for subspace clustering via 0-1 integer programming T Yang, S Zhou, Z Zhang Signal Processing 199, 108622, 2022 | 10 | 2022 |
