Liang-Yong Xia

According to our database, Liang-Yong Xia authored at least 8 papers between 2016 and 2020.

Collaborative distances:

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

2020

A greedy screening test strategy to accelerate solving LASSO problems with small regularization parameters.

Hai-Wei Shen, Hua Chai, Liang-Yong Xia, Sheng-Bing Wu, Wei Qu, Yong Liang, Xiang-Tao Liu

Soft Comput., 2020

2019

Improved Prediction of Drug-Target Interactions Using Self-Paced Learning with Collaborative Matrix Factorization.

Liang-Yong Xia, Ziyi Yang, Hui Zhang, Yong Liang

J. Chem. Inf. Model., 2019

Descriptor Selection Improvements for Quantitative Structure-Activity Relationships.

Liang-Yong Xia, Qing-Yong Wang, Zehong Cao, Yong Liang

Int. J. Neural Syst., 2019

MSPL: Multimodal Self-Paced Learning for Multi-Omics Feature Selection and Data Integration.

Ziyi Yang, Liang-Yong Xia, Hui Zhang, Yong Liang

IEEE Access, 2019

2018

QSAR Classification Modeling for Bioactivity of Molecular Structure via SPL-Logsum.

Liang-Yong Xia, Qing-Yong Wang

CoRR, 2018

Semi-Supervised Learning with Ensemble Self-Training for Cancer Classification.

Qing-Yong Wang, Liang-Yong Xia, Hua Chai, Yun Zhou

Proceedings of the 2018 IEEE SmartWorld, 2018

2016

Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI.

Xu-Xin Lin, Liang-Yong Xia, Yong Liang, Hai-Hui Huang, Hua Chai, Kuok-Fan Chan

Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Image Super-Resolution Reconstruction via L1/2 and S1/2 Regularizations.

Liang-Yong Xia, Xu-Xin Lin, Yong Liang, Hong-kun Jiang, Hua Chai, Hai-Hui Huang

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016