| Improvements on twin support vector machines YH Shao, CH Zhang, XB Wang, NY Deng IEEE transactions on neural networks 22 (6), 962-968, 2011 | 603 | 2011 |
| Comprehensive review on twin support vector machines M Tanveer, T Rajani, R Rastogi, YH Shao, MA Ganaie Annals of Operations Research, 1-46, 2022 | 188 | 2022 |
| An efficient weighted Lagrangian twin support vector machine for imbalanced data classification YH Shao, WJ Chen, JJ Zhang, Z Wang, NY Deng Pattern Recognition 47 (9), 3158-3167, 2014 | 181 | 2014 |
| Nonparallel hyperplane support vector machine for binary classification problems YH Shao, WJ Chen, NY Deng Information Sciences 263, 22-35, 2014 | 172 | 2014 |
| Least squares recursive projection twin support vector machine for classification YH Shao, NY Deng, ZM Yang Pattern Recognition 45 (6), 2299-2307, 2012 | 152 | 2012 |
| MLTSVM: A novel twin support vector machine to multi-label learning WJ Chen, YH Shao, CN Li, NY Deng Pattern Recognition 52, 61-74, 2016 | 146 | 2016 |
| An ε-twin support vector machine for regression YH Shao, CH Zhang, ZM Yang, L Jing, NY Deng Neural Computing and Applications 23, 175-185, 2013 | 145 | 2013 |
| A regularization for the projection twin support vector machine YH Shao, Z Wang, WJ Chen, NY Deng Knowledge-Based Systems 37, 203-210, 2013 | 115 | 2013 |
| Twin support vector machine for clustering Z Wang, YH Shao, L Bai, NY Deng IEEE transactions on neural networks and learning systems 26 (10), 2583-2588, 2015 | 113 | 2015 |
| A coordinate descent margin based-twin support vector machine for classification YH Shao, NY Deng Neural networks 25, 114-121, 2012 | 108 | 2012 |
| Support Vector Machine Classifier via Soft-Margin Loss H Wang, Y Shao, S Zhou, C Zhang, N Xiu IEEE transactions on pattern analysis and machine intelligence 44 (10), 7253 …, 2021 | 106 | 2021 |
| Robust L1-norm two-dimensional linear discriminant analysis CN Li, YH Shao, NY Deng Neural Networks 65, 92-104, 2015 | 100 | 2015 |
| Weighted linear loss twin support vector machine for large-scale classification YH Shao, WJ Chen, Z Wang, CN Li, NY Deng Knowledge-Based Systems 73, 276-288, 2015 | 90 | 2015 |
| Multiple birth support vector machine for multi-class classification ZX Yang, YH Shao, XS Zhang Neural Computing & Applications, 1-9, 2012 | 89 | 2012 |
| Laplacian smooth twin support vector machine for semi-supervised classification WJ Chen, YH Shao, N Hong International Journal of Machine Learning and Cybernetics 5, 459-468, 2014 | 80 | 2014 |
| Robust and sparse linear discriminant analysis via an alternating direction method of multipliers CN Li, YH Shao, W Yin, MZ Liu IEEE transactions on neural networks and learning systems 31 (3), 915-926, 2019 | 78 | 2019 |
| Improved generalized eigenvalue proximal support vector machine YH Shao, NY Deng, WJ Chen, Z Wang IEEE signal processing letters 20 (3), 213-216, 2012 | 74 | 2012 |
| A GA-based model selection for smooth twin parametric-margin support vector machine Z Wang, YH Shao, TR Wu Pattern Recognition 46 (8), 2267-2277, 2013 | 73 | 2013 |
| Robust L1-norm non-parallel proximal support vector machine CN Li, YH Shao, NY Deng Optimization 65 (1), 169-183, 2016 | 61 | 2016 |
| Insensitive stochastic gradient twin support vector machines for large scale problems Z Wang, YH Shao, L Bai, CN Li, LM Liu, NY Deng Information sciences 462, 114-131, 2018 | 54* | 2018 |
Chun-Na LiHainan UniversityVerified email at hainanu.edu.cn
