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20162026
most citedGlobal Optimality in Low-rank Matrix Optimization

128 citations · 327 across the 14 of their papers we have counts for

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Showing cs.ITShow all

6 papers · 1 filter

cs.IT2017★ 1 cited

On Collaborative Compressive Sensing Systems: The Framework, Design and Algorithm

Zhihui Zhu, Gang Li, Jiajun Ding +2

Based on the maximum likelihood estimation principle, we derive a collaborative estimation framework that fuses several different estimators and yields a better estimate. Applying…

cs.IT2017★ 29 cited

The Global Optimization Geometry of Low-Rank Matrix Optimization

Zhihui Zhu, Qiuwei Li, Gongguo Tang +1

This paper considers general rank-constrained optimization problems that minimize a general objective function over the set of rectangular matrices that have ran…

cs.IT2017★ 128 cited

Global Optimality in Low-rank Matrix Optimization

Zhihui Zhu, Qiuwei Li, Gongguo Tang +1

This paper considers the minimization of a general objective function over the set of rectangular matrices that have rank at most . To reduce the computationa…

cs.IT2016★ 23 cited

Approximate Support Recovery of Atomic Line Spectral Estimation: A Tale of Resolution and Precision

Qiuwei Li, Gongguo Tang

This work investigates the parameter estimation performance of super-resolution line spectral estimation using atomic norm minimization. The focus is on analyzing the algorithm's a…

cs.IT2016★ 87 cited

The Non-convex Geometry of Low-rank Matrix Optimization

Qiuwei Li, Zhihui Zhu, Gongguo Tang

This work considers two popular minimization problems: (i) the minimization of a general convex function with the domain being positive semi-definite matrices; (ii)…

cs.IT2016★ 2 cited

A Super-Resolution Framework for Tensor Decomposition

Qiuwei Li, Ashley Prater, Lixin Shen +1

This work considers a super-resolution framework for overcomplete tensor decomposition. Specifically, we view tensor decomposition as a super-resolution problem of recovering a sum…