Xinying Pang

According to our database, Xinying Pang authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

2024

MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule.

Xinying Pang, Chang Xu, Yitian Xu

Neural Networks, 2024

2023

A reconstructed feasible solution-based safe feature elimination rule for expediting multi-task lasso.

Xinying Pang, Yitian Xu

Inf. Sci., 2023

2022

A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration.

Xinying Pang, Jiang Zhao, Yitian Xu

Neural Networks, 2022

A safe acceleration method for multi-task twin support vector machine.

Fan Xie, Yitian Xu, Mengdan Ma, Xinying Pang

Int. J. Mach. Learn. Cybern., 2022

A novel multi-task twin-hypersphere support vector machine for classification.

Xinying Pang, Ying Zhang, Yitian Xu

Inf. Sci., 2022

2021

A Doubly Sparse Multiclass Support Vector Machine With Simultaneous Feature and Sample Screening.

Xinying Pang, Yitian Xu, Xinshuang Xiao

IEEE Trans. Syst. Man Cybern. Syst., 2021

Pinball loss-based multi-task twin support vector machine and its safe acceleration method.

Fan Xie, Xinying Pang, Yitian Xu

Neural Comput. Appl., 2021

A hybrid acceleration strategy for nonparallel support vector machine.

Weichen Wu, Yitian Xu, Xinying Pang

Inf. Sci., 2021

2019

A safe screening rule for accelerating weighted twin support vector machine.

Xinying Pang, Yitian Xu

Soft Comput., 2019

Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines.

Xinying Pang, Xianli Pan, Yitian Xu

Pattern Recognit., 2019

2018

Scaling KNN multi-class twin support vector machine via safe instance reduction.

Xinying Pang, Chang Xu, Yitian Xu

Knowl. Based Syst., 2018

A safe screening based framework for support vector regression.

Xianli Pan, Xinying Pang, Hongmei Wang, Yitian Xu

Neurocomputing, 2018

Maximum margin of twin spheres machine with pinball loss for imbalanced data classification.

Yitian Xu, Qian Wang, Xinying Pang, Ying Tian

Appl. Intell., 2018