Shaoyang Li

Int. J. Comput. Integr. Manuf., 2022

Channel Reservation based Load Aware Handover for LEO Satellite Communications.

[BibT_eX]

[DOI]

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

2021

Application Status and Prospect of Digital Twin for On-Orbit Spacecraft.

[BibT_eX]

[DOI]

Wenqiang Yang

Yu Zheng

IEEE Access, 2021

2017

Online Bayesian Learning for Remote-Sensing Imagery Compression.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Prior-Information-Based Remote Sensing Image Compression with Bayesian Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Variational Bayesian inference for nonparametric signal compressive sensing on structured manifolds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2017

Variational inference for nonparametric subspace dictionary learning with hierarchical beta process.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A nonparametric Bayesian method of structural saliency dictionary learning for image compression.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

The Rough Linear Approximate Space and Soft Linear Space.

[BibT_eX]

[DOI]

Yingcang Ma

Yamei Liu

J. Intell. Syst., 2016

Variational Bayesian image fusion based on combined sparse representations.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Large-scale structured sparse image reconstruction with correlated multiple-measurement vectors using Bayesian learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 Picture Coding Symposium, 2015

A Nonparametric Bayesian Approach to Image Compressive Sensing on Manifolds with Correlation Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Communications Conference, 2015

A nonparametric Bayesian approach to joint multiple dictionary learning with separate image sources.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014

A Variational Bayesian EM Approach to Structured Sparse Signal Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE 80th Vehicular Technology Conference, 2014

A low-complexity Bayesian approach to large-scale sparse image reconstruction with structured constraints.

[BibT_eX]

[DOI]