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Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals., , , , , , , and . IEEE Trans. Signal Processing, 65 (14): 3702-3717 (2017)A Unified Framework for Structured Graph Learning via Spectral Constraints., , , and . CoRR, (2019)Low Rank Enhanced Matrix Recovery of Hybrid Time and Frequency Data in Fast Magnetic Resonance Spectroscopy., , , , , , , and . IEEE Trans. Biomed. Engineering, 65 (4): 809-820 (2018)Accelerated magnetic resonance spectroscopy with Vandermonde factorization., , , and . EMBC, page 3537-3540. IEEE, (2017)Tensor-Based Information Monitoring Receiver in UAV-Aided MIMO Communication Systems., , , and . IEEE Wirel. Commun. Lett., 11 (1): 155-159 (2022)Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement., , , , , , , , and . IEEE Access, (2018)Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy., , , , , and . IEEE Trans. Signal Processing, 66 (21): 5520-5533 (2018)Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals., , , , , , , and . CoRR, (2016)Structured Graph Learning Via Laplacian Spectral Constraints., , , and . NeurIPS, page 11647-11658. (2019)