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Journal Articles
- 2024
[j18]Jiao Zhu, Sugen Chen, Yufei Liu, Cong Hu:
Energy-based structural least squares twin support vector clustering. Eng. Appl. Artif. Intell. 128: 107467 (2024)- 2023
- [j17]Yufei Liu, Sugen Chen
, Jiao Zhu, Cong Hu:
Plane-based clustering with asymmetric distribution loss. Appl. Soft Comput. 148: 110893 (2023) - [j16]Ting Shi, Sugen Chen:
Robust Twin Support Vector Regression with Smooth Truncated Hε Loss Function. Neural Process. Lett. 55(7): 9179-9223 (2023) - 2021
- [j15]Feng-Lin Chen, Hai Zhang, Sugen Chen, Wentao Cheng:
Novel two-party quantum private comparison via quantum walks on circle. Quantum Inf. Process. 20(5): 178 (2021) - 2020
- [j14]Sugen Chen, Junfeng Cao, Fenglin Chen, Bingbing Liu:
Entropy-Based Fuzzy Least Squares Twin Support Vector Machine for Pattern Classification. Neural Process. Lett. 51(1): 41-66 (2020) - [j13]Sugen Chen, Xiao-Jun Wu, Juan Xu:
Locality preserving projection least squares twin support vector machine for pattern classification. Pattern Anal. Appl. 23(1): 1-13 (2020) - [j12]Zhong Huang, Fuji Ren, Min Hu, Sugen Chen:
Facial Expression Imitation Method for Humanoid Robot Based on Smooth-Constraint Reversed Mechanical Model (SRMM). IEEE Trans. Hum. Mach. Syst. 50(6): 538-549 (2020) - 2019
- [j11]Sugen Chen, Junfeng Cao, Zhong Huang:
Weighted Linear Loss Projection Twin Support Vector Machine for Pattern Classification. IEEE Access 7: 57349-57360 (2019) - [j10]Sugen Chen, Junfeng Cao, Zhong Huang, Chuansheng Shen:
Entropy-Based Fuzzy Twin Bounded Support Vector Machine for Binary Classification. IEEE Access 7: 86555-86569 (2019) - [j9]He-Feng Yin, Xiao-Jun Wu, Sugen Chen:
Locality Constraint Dictionary Learning With Support Vector for Pattern Classification. IEEE Access 7: 175071-175082 (2019) - [j8]Sugen Chen, Xiaojun Wu, Hefeng Yin:
A novel projection twin support vector machine for binary classification. Soft Comput. 23(2): 655-668 (2019) - 2018
- [j7]Sugen Chen, Xiao-Jun Wu:
A new fuzzy twin support vector machine for pattern classification. Int. J. Mach. Learn. Cybern. 9(9): 1553-1564 (2018) - [j6]Feng-Lin Chen, Wan-Fang Liu, Sugen Chen, Zhi-Hua Wang:
Public-key quantum digital signature scheme with one-time pad private-key. Quantum Inf. Process. 17(1): 10 (2018) - 2017
- [j5]Sugen Chen, Xiao-Jun Wu:
Multiple birth least squares support vector machine for multi-class classification. Int. J. Mach. Learn. Cybern. 8(6): 1731-1742 (2017) - [j4]Sugen Chen, Xiaojun Wu, Hefeng Yin:
KPCA method based on within-class auxiliary training samples and its application to pattern classification. Pattern Anal. Appl. 20(3): 749-767 (2017) - 2016
- [j3]Sugen Chen, Xiaojun Wu, Renfeng Zhang:
A Novel Twin Support Vector Machine for Binary Classification Problems. Neural Process. Lett. 44(3): 795-811 (2016) - 2015
- [j2]Junfeng Cao, Xiaojun Wu, Sugen Chen:
基于改进符号压力函数的变分水平集图像分割算法 (Variational Level Set Method for Image Segmentation Based on Improved Signed Pressure Force Function). 计算机科学 42(8): 40-43 (2015) - [j1]Hefeng Yin, Xiaojun Wu, Sugen Chen:
改进的局部稀疏表示分类算法及其在人脸识别中的应用 (Improved LSRC and its Application in Face Recognition). 计算机科学 42(8): 48-51 (2015)
Conference and Workshop Papers
- 2009
- [c1]Sugen Chen, Benyue Su:
Geometric modeling with quasi-Hermite curves and surfaces. CAD/Graphics 2009: 300-305
Informal and Other Publications
- 2019
- [i1]He-Feng Yin, Xiao-Jun Wu, Sugen Chen:
Locality Constraint Dictionary Learning with Support Vector for Pattern Classification. CoRR abs/1911.10003 (2019)
Coauthor Index
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