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researcher

Shengli Xie

16 papers hereh-index 6213.6k citations235 works total

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

author position
  • middle author7
  • last author9

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV4
  • math.NA3
  • cs.CE1
  • cs.ET1
  • cs.IT1
same name
  • Shengli Xie — 11 papers, h 10
  • Shengli Xie — 3 papers, h 9
  • Shengli Xie — 2 papers, h 17
  • Shengli Xie — 1 paper, h 7
  • Shengli Xie — 1 paper, h 2
  • Shengli Xie — 1 paper, h 2

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
20122021
most citedTensor Ring Decomposition

303 citations · 885 across the 16 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2018★ 3 cited

Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization

Jinshi Yu, Guoxu Zhou, Andrzej Cichocki +1

Nonsmooth Nonnegative Matrix Factorization (nsNMF) is capable of producing more localized, less overlapped feature representations than other variants of NMF while keeping satisfac…

cs.CV2016★ 6 cited

Low-rank Multi-view Clustering in Third-Order Tensor Space

Ming Yin, Junbin Gao, Shengli Xie +1

The plenty information from multiple views data as well as the complementary information among different views are usually beneficial to various tasks, e.g., clustering, classifica…

cs.CV2016★ 1 cited

Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices

Ming Yin, Shengli Xie, Yi Guo +2

Due to its promising classification performance, sparse representation based classification(SRC) algorithm has attracted great attention in the past few years. However, the existin…

cs.CV2016★ 3 cited

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds

Ming Yin, Yi Guo, Junbin Gao +2

Sparse subspace clustering (SSC), as one of the most successful subspace clustering methods, has achieved notable clustering accuracy in computer vision tasks. However, SSC applies…

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