Sugen Chen

According to our database, Sugen Chen authored at least 18 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Twin Support Vector Regression with Smooth Truncated Hε Loss Function.

Ting Shi, Sugen Chen

Neural Process. Lett., December, 2023

Plane-based clustering with asymmetric distribution loss.

Yufei Liu, Sugen Chen, Jiao Zhu, Cong Hu

Appl. Soft Comput., November, 2023

2021

Novel two-party quantum private comparison via quantum walks on circle.

Feng-Lin Chen, Hai Zhang, Sugen Chen, Wentao Cheng

Quantum Inf. Process., 2021

2020

Facial Expression Imitation Method for Humanoid Robot Based on Smooth-Constraint Reversed Mechanical Model (SRMM).

Zhong Huang, Fuji Ren, Min Hu, Sugen Chen

IEEE Trans. Hum. Mach. Syst., 2020

Locality preserving projection least squares twin support vector machine for pattern classification.

Sugen Chen, Xiao-Jun Wu, Juan Xu

Pattern Anal. Appl., 2020

Entropy-Based Fuzzy Least Squares Twin Support Vector Machine for Pattern Classification.

Sugen Chen, Junfeng Cao, Fenglin Chen, Bingbing Liu

Neural Process. Lett., 2020

2019

A novel projection twin support vector machine for binary classification.

Sugen Chen, Xiaojun Wu, Hefeng Yin

Soft Comput., 2019

Locality Constraint Dictionary Learning With Support Vector for Pattern Classification.

He-Feng Yin, Xiao-Jun Wu, Sugen Chen

IEEE Access, 2019

Entropy-Based Fuzzy Twin Bounded Support Vector Machine for Binary Classification.

Sugen Chen, Junfeng Cao, Zhong Huang, Chuansheng Shen

IEEE Access, 2019

Weighted Linear Loss Projection Twin Support Vector Machine for Pattern Classification.

Sugen Chen, Junfeng Cao, Zhong Huang

IEEE Access, 2019

2018

Public-key quantum digital signature scheme with one-time pad private-key.

Feng-Lin Chen, Wan-Fang Liu, Sugen Chen, Zhi-Hua Wang

Quantum Inf. Process., 2018

A new fuzzy twin support vector machine for pattern classification.

Sugen Chen, Xiao-Jun Wu

Int. J. Mach. Learn. Cybern., 2018

2017

KPCA method based on within-class auxiliary training samples and its application to pattern classification.

Sugen Chen, Xiaojun Wu, Hefeng Yin

Pattern Anal. Appl., 2017

Multiple birth least squares support vector machine for multi-class classification.

Sugen Chen, Xiao-Jun Wu

Int. J. Mach. Learn. Cybern., 2017

2016

A Novel Twin Support Vector Machine for Binary Classification Problems.

Sugen Chen, Xiaojun Wu, Renfeng Zhang

Neural Process. Lett., 2016

2015

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).

Hefeng Yin, Xiaojun Wu, Sugen Chen

计算机科学, 2015

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).

Junfeng Cao, Xiaojun Wu, Sugen Chen

计算机科学, 2015

2009

Geometric modeling with quasi-Hermite curves and surfaces.

Sugen Chen, Benyue Su

Proceedings of the 11th International Conference on Computer-Aided Design and Computer Graphics, 2009