Yangqing Li

Orcid: 0000-0002-2272-4312

According to our database1, Yangqing Li authored at least 12 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2022
Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning.
Sensors, 2022

2021
Low-rank and joint-sparse signal recovery using sparse Bayesian learning in a WBAN.
Multidimens. Syst. Signal Process., 2021

2020
Fast Recovery of Low-Rank and Joint-Sparse Signals in Wireless Body Area Networks.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2019
A Novel Tensor CS-Based NOMA MIMO System for the Downlink of Massive Mission-Critical MTC in 5G and Beyond.
IEEE Access, 2019

2018
A novel compressed sensing-based non-orthogonal multiple access scheme for massive MTC in 5G systems.
EURASIP J. Wirel. Commun. Netw., 2018

Low-Rank and Joint-Sparse Signal Recovery for Spatially and Temporally Correlated Data Using Sparse Bayesian Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Approximate Message Passing for Structured Affine Rank Minimization Problem.
IEEE Access, 2017

A novel CS-based non-orthogonal multiple access MIMO system for downlink of MTC in 5G.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2016
An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Sparse multi-user detection for non-orthogonal multiple access in 5G systems.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

An approximate message passing approach for tensor-based seismic data interpolation with randomly missing traces.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Approximate message passing for sparse recovering of spatially and temporally correlated data.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015


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