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researcher

Ju Sun

University of Minnesota at Twin Cities

21 papers hereh-index 206k citations52 works total

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

author position
  • first author7
  • middle author9
  • last author5

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.IT8
  • cs.LG4
  • cs.CV3
  • cs.CL2
  • eess.IV1
  • math.OC1
affiliations
  • University of Minnesota at Twin Cities
Homepage
same name
  • Ju Sun — 7 papers, h 8
  • Ju Sun — 7 papers, h 3
  • Ju Sun — 6 papers, h 7
  • Ju Sun — 5 papers, h 9
  • Ju Sun — 1 paper
  • Ju Sun — 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

activity
20102023
most citedRobust Recovery of Subspace Structures by Low-Rank Representation

3.7k citations · 4.5k across the 21 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.IT2015★ 121 cited

Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method

Ju Sun, Qing Qu, John Wright

We consider the problem of recovering a complete (i.e., square and invertible) matrix A0​, from Y∈Rn×p with $\mathbf Y = \mathbf A_0 \mat…

cs.IT2015★ 242 cited

Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture

Ju Sun, Qing Qu, John Wright

We consider the problem of recovering a complete (i.e., square and invertible) matrix A0​, from Y∈Rn×p with $\mathbf Y = \mathbf A_0 \mat…

math.OC2015★ 106 cited

When Are Nonconvex Problems Not Scary?

Ju Sun, Qing Qu, John Wright

In this note, we focus on smooth nonconvex optimization problems that obey: (1) all local minimizers are also global; and (2) around any saddle point or local maximizer, the object…

cs.IT2015★ 38 cited

Complete Dictionary Recovery over the Sphere

Ju Sun, Qing Qu, John Wright

We consider the problem of recovering a complete (i.e., square and invertible) matrix A0​, from Y∈Rn×p with $\mathbf Y = \mathbf A_0 \math…

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