Ye Tian

According to our database, Ye Tian authored at least 19 papers between 2013 and 2023.

Collaborative distances:

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

2023

Hotel overbooking based on no-show probability forecasts.

Qianru Zhai, Ye Tian, Jian Luo, Jingyue Zhou

Comput. Ind. Eng., June, 2023

A kernel-free Laplacian quadratic surface optimal margin distribution machine with application to credit risk assessment.

Jingyue Zhou, Ye Tian, Jian Luo, Qianru Zhai

Appl. Soft Comput., January, 2023

2022

Novel non-Kernel quadratic surface support vector machines based on optimal margin distribution.

Jingyue Zhou, Ye Tian, Jian Luo, Qianru Zhai

Soft Comput., 2022

Robust kernel-free support vector regression based on optimal margin distribution.

Jian Luo, Shu-Cherng Fang, Zhibin Deng, Ye Tian

Knowl. Based Syst., 2022

Laplacian large margin distribution machine for semi-supervised classification.

Jingyue Zhou, Ye Tian, Jian Luo, Qianru Zhai

J. Oper. Res. Soc., 2022

2020

Globally solving extended trust region subproblems with two intersecting cuts.

Zhibin Deng, Cheng Lu, Ye Tian, Jian Luo

Optim. Lett., 2020

Unsupervised quadratic surface support vector machine with application to credit risk assessment.

Jian Luo, Xin Yan, Ye Tian

Eur. J. Oper. Res., 2020

2018

An intuitionistic fuzzy set based S $$^3$$ 3 VM model for binary classification with mislabeled information.

Ye Tian, Zhibin Deng, Jian Luo, Yueqing Li

Fuzzy Optim. Decis. Mak., 2018

A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines.

Ye Tian, Ziyang Yong, Jian Luo

Appl. Soft Comput., 2018

2017

A New Fuzzy Set and Nonkernel SVM Approach for Mislabeled Binary Classification With Applications.

Ye Tian, Miao Sun, Zhibin Deng, Jian Luo, Yueqing Li

IEEE Trans. Fuzzy Syst., 2017

A new branch-and-bound approach to semi-supervised support vector machine.

Ye Tian, Jian Luo

Soft Comput., 2017

Clustering via fuzzy one-class quadratic surface support vector machine.

Jian Luo, Ye Tian, Xin Yan

Soft Comput., 2017

A new effective branch-and-bound algorithm to the high order MIMO detection problem.

Ye Tian, Ke Li, Wei Yang, Zhiyong Li

J. Comb. Optim., 2017

Reject inference in credit scoring using Semi-supervised Support Vector Machines.

Zhiyong Li, Ye Tian, Ke Li, Fanyin Zhou, Wei Yang

Expert Syst. Appl., 2017

2016

Expanded models of the project portfolio selection problem with loss in divisibility.

Ye Tian, Miao Sun, Zuoliang Ye, Wei Yang

J. Oper. Res. Soc., 2016

2015

Expanded model of the project portfolio selection problem with divisibility, time profile factors and cardinality constraints.

Xingmei Li, Shu-Cherng Fang, Ye Tian, Xiaoling Guo

J. Oper. Res. Soc., 2015

MIMO Detection for High Order QAM by Canonical Dual Approach.

Ye Tian, Jr-Fong Dang

J. Appl. Math., 2015

A practical model to predict the repeat purchasing pattern of consumers in the C2C e-commerce.

Ye Tian, Zuoliang Ye, Yufei Yan, Miao Sun

Electron. Commer. Res., 2015

2013

<i>ℓ¹</i> Major Component Detection and Analysis (<i>ℓ¹</i> MCDA): Foundations in Two Dimensions.

Ye Tian, Qingwei Jin, John E. Lavery, Shu-Cherng Fang

Algorithms, 2013