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Ming Yan

Institute of High Performance Computing

20 papers hereh-index 8128.8k citations1k works total

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

author position
  • sole author2
  • first author2
  • middle author11
  • last author4

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • math.OC8
  • cond-mat.mtrl-sci2
  • cs.IT2
  • physics.optics2
  • cond-mat.mes-hall1
  • cond-mat.soft1
affiliations
  • Institute of High Performance Computing
ORCID 0000-0002-5762-395X
same name
  • Ming Yan — 32 papers, h 22
  • Ming Yan — 24 papers, h 11
  • Ming Yan — 19 papers, h 14
  • Ming Yan — 12 papers, h 5
  • Ming Yan — 9 papers, h 3
  • Ming Yan — 7 papers, h 3

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

activity
20102026
most citedARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates

269 citations · 791 across the 20 of their papers we have counts for

collaborators
Showing 2016 · math.OCShow all

3 papers · 2 filters

math.OC2016★ 5 cited

A new primal-dual algorithm for minimizing the sum of three functions with a linear operator

Ming Yan

In this paper, we propose a new primal-dual algorithm for minimizing f(x)+g(x)+h(Ax), where f, g, and h are proper lower semi-continuous convex functions, f is differ…

math.OC2016★ 3 cited

Fast L1-L2 minimization via a proximal operator

Yifei Lou, Ming Yan

This paper aims to develop new and fast algorithms for recovering a sparse vector from a small number of measurements, which is a fundamental problem in the field of compressive se…

math.OC2016★ 75 cited

Coordinate Friendly Structures, Algorithms and Applications

Zhimin Peng, Tianyu Wu, Yangyang Xu +2

This paper focuses on coordinate update methods, which are useful for solving problems involving large or high-dimensional datasets. They decompose a problem into simple subproblem…

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