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Qingsong Wang

3 papers hereh-index 566 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV1
  • math.NA1
  • math.OC1
same name
  • Qingsong Wang — 11 papers, h 7
  • Qingsong Wang — 8 papers, h 3
  • Qingsong Wang — 6 papers, h 3
  • Qingsong Wang — 3 papers, h 1
  • Qingsong Wang — 2 papers, h 1
  • Qingsong Wang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines

6 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

math.NA2023

An inexact proximal majorization-minimization Algorithm for remote sensing image stripe noise removal

Chengjing Wang, Xile Zhao, Qingsong Wang +2

The stripe noise existing in remote sensing images badly degrades the visual quality and restricts the precision of data analysis. Therefore, many destriping models have been propo…

math.OC2019★ 6 cited

A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines

Dunbiao Niu, Chengjing Wang, Peipei Tang +2

Support vector machines (SVMs) are successful modeling and prediction tools with a variety of applications. Previous work has demonstrated the superiority of the SVMs in dealing wi…

eess.IV2019★ 1 cited

A Dual Alternating Direction Method of Multipliers for Image Decomposition and Restoration

Qingsong Wang, Chengjing Wang, Peipei Tang +1

In this paper, we develop a dual alternating direction method of multipliers (ADMM) for an image decomposition model. In this model, an image is divided into two meaningful compone…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.