Tsung-Hui Chang

most citedLow-rank Matrix Recovery With Unknown Correspondence

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 2 cited

Low-rank Matrix Recovery With Unknown Correspondence

Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye +1

We study a matrix recovery problem with unknown correspondence: given the observation matrix $M_{o} = [A, P ~ B]$ , where $P ~$ is an unknown permutation matrix, we aim to reco…

math.OC2021

A Dimension Reduction Technique for Large-scale Structured Sparse Optimization Problems with Application to Convex Clustering

Yancheng Yuan, Tsung-Hui Chang, Defeng Sun +1

In this paper, we propose a novel adaptive sieving (AS) technique and an enhanced AS (EAS) technique, which are solver independent and could accelerate optimization algorithms for…