| 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 | 140 | 2016 |
| Robust L1-norm two-dimensional linear discriminant analysis CN Li, YH Shao, NY Deng Neural Networks 65, 92-104, 2015 | 99 | 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 | 89 | 2015 |
| Financial technology as a driver of poverty alleviation in China: Evidence from an innovative regression approach Y Ye, S Chen, C Li Journal of Innovation & Knowledge 7 (1), 100164, 2022 | 75 | 2022 |
| Study of Morita contexts G Tang, C Li, Y Zhou Communications in Algebra 42 (4), 1668-1681, 2014 | 73 | 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 | 70 | 2019 |
| Robust L1-norm non-parallel proximal support vector machine CN Li, YH Shao, NY Deng Optimization 65 (1), 169-183, 2016 | 58 | 2016 |
| Least squares recursive projection twin support vector machine for multi-class classification ZM Yang, HJ Wu, CN Li, YH Shao International Journal of Machine Learning and Cybernetics 7, 411-426, 2016 | 49 | 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 | 48 | 2018 |
| Sparse Lq-norm least squares support vector machine with feature selection YH Shao, CN Li, MZ Liu, Z Wang, NY Deng Pattern Recognition 78, 167-181, 2018 | 48 | 2018 |
| D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation HX Pei, ZR Zheng, C Wang, CN Li, YH Shao Procedia Computer Science 122, 407-414, 2017 | 44 | 2017 |
| On strongly*-clean rings C Li, Y Zhou Journal of Algebra and Its Applications 10 (06), 1363-1370, 2011 | 42 | 2011 |
| Smooth pinball loss nonparallel support vector machine for robust classification MZ Liu, YH Shao, CN Li, WJ Chen Applied Soft Computing 98, 106840, 2021 | 38 | 2021 |
| Robust Lp-norm least squares support vector regression with feature selection YF Ye, YH Shao, NY Deng, CN Li, XY Hua Applied Mathematics and Computation 305, 32-52, 2017 | 35 | 2017 |
| Robust support vector regression with generic quadratic nonconvex ε-insensitive loss Y Ye, J Gao, Y Shao, C Li, Y Jin, X Hua Applied Mathematical Modelling 82, 235-251, 2020 | 33 | 2020 |
| Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding L Bai, YH Shao, Z Wang, CN Li Knowledge-Based Systems 163, 227-240, 2019 | 33 | 2019 |
| Robust bilateral Lp-norm two-dimensional linear discriminant analysis CN Li, YH Shao, Z Wang, NY Deng Information Sciences 500, 274-297, 2019 | 32 | 2019 |
| Generalized two-dimensional linear discriminant analysis with regularization CN Li, YH Shao, WJ Chen, Z Wang, NY Deng Neural Networks 142, 73-91, 2021 | 29 | 2021 |
| Multiple recursive projection twin support vector machine for multi-class classification CN Li, YF Huang, HJ Wu, YH Shao, ZM Yang International Journal of Machine Learning and Cybernetics 7 (5), 729-740, 2016 | 28 | 2016 |
| Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification YR Guo, YQ Bai, CN Li, YH Shao, YF Ye, C Jiang Engineering Applications of Artificial Intelligence 97, 104033, 2021 | 27 | 2021 |
