Xiang-Yu Hua

According to our database, Xiang-Yu Hua authored at least 8 papers between 2013 and 2021.

Collaborative distances:

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

2021

Feature selection for high-dimensional regression via sparse LSSVR based on L_p-norm.

Chun-Na Li, Yuan-Hai Shao, Da Zhao, Yan-Ru Guo, Xiang-Yu Hua

Int. J. Intell. Syst., 2021

Online support vector quantile regression for the dynamic time series with heavy-tailed noise.

Ya-Fen Ye, Yuan-Hai Shao, Chunna Li, Xiang-Yu Hua, Yan-Ru Guo

Appl. Soft Comput., 2021

2017

Robust L_p-norm least squares support vector regression with feature selection.

Ya-Fen Ye, Yuan-Hai Shao, Nai-Yang Deng, Chun-Na Li, Xiang-Yu Hua

Appl. Math. Comput., 2017

2016

Weighted Lagrange ε-twin support vector regression.

Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng

Neurocomputing, 2016

A novel parametric-insensitive nonparallel support vector machine for regression.

Zhi-Min Yang, Xiang-Yu Hua, Yuan-Hai Shao, Ya-Fen Ye

Neurocomputing, 2016

2015

Combined outputs framework for twin support vector machines.

Yuan-Hai Shao, Xiang-Yu Hua, Li-Ming Liu, Zhi-Min Yang, Nai-Yang Deng

Appl. Intell., 2015

A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression.

Xiang-Yu Hua, Zhi-Min Yang, Ya-Fen Ye, Yuan-Hai Shao

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

2013

Proximal Plane Clustering via Eigenvalues.

Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013