| A new fuzzy twin support vector machine for pattern classification SG Chen, XJ Wu International Journal of Machine Learning and Cybernetics 9, 1553-1564, 2018 | 76 | 2018 |
| Public-key quantum digital signature scheme with one-time pad private-key FL Chen, WF Liu, SG Chen, ZH Wang Quantum Information Processing 17, 1-14, 2018 | 40 | 2018 |
| Multiple birth least squares support vector machine for multi-class classification SG Chen, XJ Wu International Journal of Machine Learning and Cybernetics 8, 1731-1742, 2017 | 37 | 2017 |
| Entropy-based fuzzy least squares twin support vector machine for pattern classification S Chen, J Cao, F Chen, B Liu Neural Processing Letters 51, 41-66, 2020 | 21 | 2020 |
| A novel twin support vector machine for binary classification problems S Chen, X Wu, R Zhang Neural Processing Letters 44, 795-811, 2016 | 16 | 2016 |
| Locality preserving projection least squares twin support vector machine for pattern classification SG Chen, XJ Wu, J Xu Pattern Analysis and Applications 23, 1-13, 2020 | 10 | 2020 |
| A novel projection twin support vector machine for binary classification S Chen, X Wu, H Yin Soft Computing 23 (2), 655-668, 2019 | 10 | 2019 |
| Facial expression imitation method for humanoid robot based on smooth-constraint reversed mechanical model (SRMM) Z Huang, F Ren, M Hu, S Chen IEEE Transactions on Human-Machine Systems 50 (6), 538-549, 2020 | 9 | 2020 |
| Entropy-based fuzzy twin bounded support vector machine for binary classification S Chen, J Cao, Z Huang, C Shen IEEE Access 7, 86555-86569, 2019 | 9 | 2019 |
| KPCA method based on within-class auxiliary training samples and its application to pattern classification S Chen, X Wu, H Yin Pattern Analysis and Applications 20, 749-767, 2017 | 9 | 2017 |
| Weighted linear loss projection twin support vector machine for pattern classification S Chen, J Cao, Z Huang IEEE Access 7, 57349-57360, 2019 | 8 | 2019 |
| Least squares twin support vector machine for multi-class classification S Chen, J Xu International Journal of Database Theory and Application 8 (5), 65-76, 2015 | 8 | 2015 |
| Eigenvalue proximal support vector machine algorithm based on eigenvalue decoposition S CHEN, X WU 电子与信息学报 38 (3), 557-564, 2016 | 7 | 2016 |
| 基于特征值分解的中心支持向量机算法 陈素根， 吴小俊 电子与信息学报 38 (3), 557-564, 2016 | 7 | 2016 |
| Active contour model based on variable exponent p-Laplace equation for image segmentation J Cao, S Chen Journal of Modern Optics 66 (7), 726-738, 2019 | 6 | 2019 |
| 一类二次 TC-Bézier 曲线的研究 陈素根， 苏本跃， 黄有度 计算机工程与设计, 4350-4352, 2009 | 6 | 2009 |
| Improved projection twin support vector machine S Chen, X Wu ACTA Electron. Sinca 45 (2), 408-416, 2017 | 5 | 2017 |
| Locality preserving projection twin support vector machine and its application in classification S Chen, X Wu, J Xu Journal of Algorithms & Computational Technology 10 (2), 65-72, 2016 | 4 | 2016 |
| 带多形状参数的双曲 Bézier 曲线 陈素根， 黄有度 工程图学学报 30 (1), 75-79, 2009 | 4 | 2009 |
| Robust Twin Support Vector Regression with Smooth Truncated H ε Loss Function T Shi, S Chen Neural Processing Letters 55 (7), 9179-9223, 2023 | 3 | 2023 |
Xiao-Jun WuSchool of Artificial Intelligence and Computer Science, Jiangnan UniversityVerified email at jiangnan.edu.cn
