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ORCIDChangchuan Yin
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Publications
- 2022
[j56]Yanbin Zhang
, Long-Ting Huang, Yangqing Li, Kai Zhang, Changchuan Yin:
Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning. Sensors 22(1): 343 (2022)- 2021
- [j48]Yanbin Zhang, Long-Ting Huang, Yangqing Li, Kesen He, Kai Zhang, Changchuan Yin:
Low-rank and joint-sparse signal recovery using sparse Bayesian learning in a WBAN. Multidimens. Syst. Signal Process. 32(1): 359-379 (2021) - 2020
- [c73]Yanbin Zhang, Longting Huang, Yangqing Li, Kai Zhang, Changchuan Yin:
Fast Recovery of Low-Rank and Joint-Sparse Signals in Wireless Body Area Networks. ICCC 2020: 577-581 - 2019
- [j40]Kesen He, Yangqing Li, Yanbin Zhang, Kai Zhang, Changchuan Yin:
A Novel Tensor CS-Based NOMA MIMO System for the Downlink of Massive Mission-Critical MTC in 5G and Beyond. IEEE Access 7: 97624-97640 (2019) - 2018
- [j28]Kesen He, Yangqing Li, Changchuan Yin, Yanbin Zhang:
A novel compressed sensing-based non-orthogonal multiple access scheme for massive MTC in 5G systems. EURASIP J. Wirel. Commun. Netw. 2018: 81 (2018) - [c59]Yanbin Zhang, Yangqing Li, Changchuan Yin, Kesen He:
Low-Rank and Joint-Sparse Signal Recovery for Spatially and Temporally Correlated Data Using Sparse Bayesian Learning. ICASSP 2018: 4719-4723 - 2017
- [j24]Yangqing Li, Changchuan Yin, Wei Chen, Zhu Han:
Approximate Message Passing for Structured Affine Rank Minimization Problem. IEEE Access 5: 10093-10107 (2017) - [c44]Kesen He, Yangqing Li, Changchuan Yin:
A novel CS-based non-orthogonal multiple access MIMO system for downlink of MTC in 5G. PIMRC 2017: 1-5 - 2016
- [c40]Yangqing Li, Changchuan Yin, Zhu Han:
An approximate message passing approach for tensor-based seismic data interpolation with randomly missing traces. ICASSP 2016: 1402-1406 - [c35]Kesen He, Yangqing Li, Changchuan Yin:
Sparse multi-user detection for non-orthogonal multiple access in 5G systems. PIMRC 2016: 1-5 - [c33]Yangqing Li, Saurabh Prasad, Wei Chen, Changchuan Yin, Zhu Han:
An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior. WHISPERS 2016: 1-5 - [i15]Yangqing Li, Saurabh Prasad, Wei Chen, Changchuan Yin, Zhu Han:
An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior. CoRR abs/1607.03380 (2016) - 2015
- [c30]Yangqing Li, Wei Chen, Changchuan Yin, Zhu Han:
Approximate message passing for sparse recovering of spatially and temporally correlated data. ICCC 2015: 1-6
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