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researcher

S. Pan

19 papers hereh-index 211.3k citations123 works total

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

author position
  • first author1
  • middle author6
  • last author10

Across the 17 of 19 papers where every author was matched, so the position is known.

fields
  • math.OC17
  • math.ST1
  • stat.ML1
same name
  • S. Pan — 74 papers, h 46
  • S. Pan — 8 papers, h 17
  • S. Pan — 6 papers, h 7
  • S. Pan — 5 papers, h 15
  • S. Pan — 4 papers, h 4
  • S. Pan — 3 papers, h 11

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
20152023
most citedA proximal MM method for the zero-norm regularized PLQ composite optimization problem

1 citations · 2 across the 10 of their papers we have counts for

collaborators
Showing 2018 · math.OCShow all

4 papers · 2 filters

math.OC2018

Subregularity of subdifferential mappings relative to the critical set and KL property of exponent 1/2

Shaohua Pan, Yulan Liu

For a proper extended real-valued function, this work focuses on the relationship between the subregularity of its subdifferential mapping relative to the critical set and its KL p…

math.OC2018

Kurdyka-Lojasiewicz Property of Zero-Norm Composite Functions

Yuqia Wu, Shaohua Pan, Shujun Bi

This paper focuses on a class of zero-norm composite optimization problems. For this class of nonconvex nonsmooth problems, we establish the Kurdyka-Lojasiewicz property of exponen…

math.OC2018

An inexact PAM method for computing Wasserstein barycenter with unknown supports

Yitian Qian, Shaohua Pan

Wasserstein barycenter is the centroid of a collection of discrete probability distributions which minimizes the average of the ℓ2​-Wasserstein distance. This paper focuses on…

math.OC2018

Calibrated zero-norm regularized LS estimator for high-dimensional error-in-variables regression

Ting Tao, Shaohua Pan, Shujun Bi

This paper is concerned with high-dimensional error-in-variables regression that aims at identifying a small number of important interpretable factors for corrupted data from many…

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