activity
20172024
most citedCompressed Sensing with Prior Information via Maximizing Correlation

3 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing cs.ITShow all

6 papers · 1 filter

cs.IT2021

Phase Transitions in Recovery of Structured Signals from Corrupted Measurements

Zhongxing Sun, Wei Cui, Yulong Liu

This paper is concerned with the problem of recovering a structured signal from a relatively small number of corrupted random measurements. Sharp phase transitions have been numeri…

cs.IT2020

Matrix Completion with Prior Subspace Information via Maximizing Correlation

Xu Zhang, Wei Cui, Yulong Liu

This paper studies the problem of completing a low-rank matrix from a few of its random entries with the aid of prior information. We suggest a strategy to incorporate prior inform…

cs.IT2019

Covariance Matrix Estimation from Correlated Sub-Gaussian Samples

Xu Zhang, Wei Cui, Yulong Liu

This paper studies the problem of estimating a covariance matrix from correlated sub-Gaussian samples. We consider using the correlated sample covariance matrix estimator to approx…

cs.IT2019

Recovery of Structured Signals From Corrupted Non-Linear Measurements

Zhongxing Sun, Wei Cui, Yulong Liu

This paper studies the problem of recovering a structured signal from a relatively small number of corrupted non-linear measurements. Assuming that signal and corruption are contai…

cs.IT2018

Covariance Matrix Estimation from Linearly-Correlated Gaussian Samples

Wei Cui, Xu Zhang, Yulong Liu

Covariance matrix estimation concerns the problem of estimating the covariance matrix from a collection of samples, which is of extreme importance in many applications. Classical r…

cs.IT20173 cited

Compressed Sensing with Prior Information via Maximizing Correlation

Xu Zhang, Wei Cui, Yulong Liu

Compressed sensing (CS) with prior information concerns the problem of reconstructing a sparse signal with the aid of a similar signal which is known beforehand. We consider a new…