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Zhiyong Zhou
Zhiyong Zhou
Professor, Hangzhou City University
Verified email at hzcu.edu.cn
Title
Cited by
Cited by
Year
Asymptotic normality of locally modelled regression estimator for functional data
Z Zhiyong, L Zhengyan
Journal of Nonparametric Statistics 28, 116-131, 2016
312016
A new nonconvex sparse recovery method for compressive sensing
Z Zhou, J Yu
Frontiers in applied mathematics and statistics 5, 14, 2019
252019
Sparse recovery based on q-ratio constrained minimal singular values
Z Zhou, J Yu
Signal Processing 155, 247-258, 2019
232019
On q-ratio CMSV for sparse recovery
Z Zhou, J Yu
Signal Processing 165, 128-132, 2019
112019
Adaptive algorithm for sparse signal recovery
FL Bayisa, Z Zhou, O Cronie, J Yu
Digital Signal Processing 87, 10-18, 2019
112019
Estimation of block sparsity in compressive sensing
Z Zhou, J Yu
International Journal of Wavelets, Multiresolution and Information …, 2022
9*2022
Recovery analysis for weighted mixed ℓ2∕ ℓp minimization with 0< p≤ 1
Z Zhou, J Yu
Journal of Computational and Applied Mathematics 352, 210-222, 2019
82019
Asymptotic theory for LAD estimation of moderate deviations from a unit root
Z Zhiyong, L Zhengyan
Statistics & Probability Letters 90, 25-32, 2014
72014
A unified framework for constructing nonconvex regularizations
Z Zhou
IEEE Signal Processing Letters 29, 479-483, 2022
62022
Varying coefficient partially nonlinear models with nonstationary regressors
Z Zhiyong, L Zhengyan
Journal of Statistical Planning and Inference 194, 47-64, 2018
62018
RIP analysis for the weighted ℓr-ℓ1 minimization method
Z Zhou
Signal Processing 202, 108754, 2023
5*2023
Sparse recovery based on the generalized error function
Z Zhou
arXiv preprint arXiv:2105.13189, 2021
42021
Minimization of the q-ratio sparsity with 1< q≤∞ for signal recovery
Z Zhou, J Yu
Signal Processing 189, 108250, 2021
32021
Stable and robust -constrained compressive sensing recovery via robust width property
Z Zhou, J Yu
arXiv preprint arXiv:1705.03810, 2017
32017
Statistical inference for the block sparsity of complex‐valued signals
J Wang, Z Zhou, J Yu
IET Signal Processing 14 (3), 154-161, 2020
22020
Error bounds of block sparse signal recovery based on q-ratio block constrained minimal singular values
J Wang, Z Zhou, J Yu
EURASIP Journal on Advances in Signal Processing 2019, 1-12, 2019
22019
Quantile inference for moderate deviations from a unit root model with infinite variance
Z Zhiyong, L Zhengyan
Journal of the Korean Statistical Society 44, 280-294, 2015
22015
Block sparse signal recovery via minimizing the block q-ratio sparsity
Z Zhou
Journal of Computational and Applied Mathematics 438, 115566, 2024
12024
Phaseless compressive sensing using partial support information
Z Zhou, J Yu
Optimization Letters 14 (7), 1961-1973, 2020
12020
Bayesian sparsity estimation in compressive sensing with application to MR images
J Wang, Z Zhou, A Garpebring, J Yu
Communications in Statistics: Case Studies, Data Analysis and Applications 5 …, 2019
1*2019
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