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Shujun Bi

11 papers hereh-index 7216 citations34 works total

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

author position
  • first author3
  • middle author1
  • last author6

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • math.OC9
  • math.ST1
  • stat.ML1
same name
  • Shujun Bi — 5 papers, h 2
  • Shujun Bi — 1 paper

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
20162020
most citedA proximal MM method for the zero-norm regularized PLQ composite optimization problem

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

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…

stat.ML2018

Equivalent Lipschitz surrogates for zero-norm and rank optimization problems

Yulan Liu, Shujun Bi, Shaohua Pan

This paper proposes a mechanism to produce equivalent Lipschitz surrogates for zero-norm and rank optimization problems by means of the global exact penalty for their equivalent ma…

math.ST2018

GEP-MSCRA for computing the group zero-norm regularized least squares estimator

Shujun Bi, Shaohua Pan

This paper concerns with the group zero-norm regularized least squares estimator which, in terms of the variational characterization of the zero-norm, can be obtained from a mathem…

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.