Approximate message passing for sparse recovering of spatially and temporally correlated data. - Yangqing Li; Wei Chen 016; Changchuan Yin; Zhu Han 001 (ICCC, 2015)

An approximate message passing approach for tensor-based seismic data interpolation with randomly missing traces. - Yangqing Li; Changchuan Yin; Zhu Han 001 (ICASSP, 2016)

Sparse multi-user detection for non-orthogonal multiple access in 5G systems. - Kesen He; Yangqing Li; Changchuan Yin (PIMRC, 2016)

An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior. - Yangqing Li; Saurabh Prasad; Wei Chen 016; Changchuan Yin; Zhu Han 001 (WHISPERS, 2016)

A novel CS-based non-orthogonal multiple access MIMO system for downlink of MTC in 5G. - Kesen He; Yangqing Li; Changchuan Yin (PIMRC, 2017)

Approximate Message Passing for Structured Affine Rank Minimization Problem. - Yangqing Li; Changchuan Yin; Wei Chen 016; Zhu Han 001 (IEEE Access, 2017)

Low-Rank and Joint-Sparse Signal Recovery for Spatially and Temporally Correlated Data Using Sparse Bayesian Learning. - Yanbin Zhang; Yangqing Li; Changchuan Yin; Kesen He (ICASSP, 2018)

A novel compressed sensing-based non-orthogonal multiple access scheme for massive MTC in 5G systems. - Kesen He; Yangqing Li; Changchuan Yin; Yanbin Zhang (EURASIP J. Wirel. Commun. Netw., 2018)

A Novel Tensor CS-Based NOMA MIMO System for the Downlink of Massive Mission-Critical MTC in 5G and Beyond. - Kesen He; Yangqing Li; Yanbin Zhang; Kai Zhang 018; Changchuan Yin (IEEE Access, 2019)

Fast Recovery of Low-Rank and Joint-Sparse Signals in Wireless Body Area Networks. - Yanbin Zhang; Longting Huang; Yangqing Li; Kai Zhang 018; Changchuan Yin (ICCC, 2020)

Low-rank and joint-sparse signal recovery using sparse Bayesian learning in a WBAN. - Yanbin Zhang; Long-Ting Huang; Yangqing Li; Kesen He; Kai Zhang 018; Changchuan Yin (Multidimens. Syst. Signal Process., 2021)

Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning. - Yanbin Zhang; Long-Ting Huang; Yangqing Li; Kai Zhang 018; Changchuan Yin (Sensors, 2022)