3 citations · 4 across the 8 of their papers we have counts for
16 papers · 1 filter
A Sharp Algorithmic Analysis of Covariate Adjusted Precision Matrix Estimation with General Structural Priors
Xiao Lv, Wei Cui, Yulong Liu
In this paper, we present a sharp analysis for a class of alternating projected gradient descent algorithms which are used to solve the covariate adjusted precision matrix estimati…
Time-Data Tradeoffs in Structured Signals Recovery via the Proximal-Gradient Homotopy Method
Xiao Lv, Wei Cui, Yulong Liu
In this paper, we characterize data-time tradeoffs of the proximal-gradient homotopy method used for solving linear inverse problems under sub-Gaussian measurements. Our results ar…
Quantized Corrupted Sensing with Random Dithering
Zhongxing Sun, Wei Cui, Yulong Liu
Corrupted sensing concerns the problem of recovering a high-dimensional structured signal from a collection of measurements that are contaminated by unknown structured corruption a…
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…
Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information
Xu Zhang, Yulong Liu, Wei Cui
This paper studies the problem of reconstructing spectrally sparse signals from a small random subset of time domain samples via low-rank Hankel matrix completion with the aid of p…
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…