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researcher

Yipeng Liu

University of Electronic Science and Technology of China

40 papers hereh-index 242.5k citations103 works total

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

author position
  • sole author1
  • first author15
  • middle author13
  • last author10

Across the 39 of 40 papers where every author was matched, so the position is known.

fields
  • cs.IT26
  • cs.CV8
  • cs.CR2
  • eess.IV2
  • math.NA1
  • stat.ML1
affiliations
  • University of Electronic Science and Technology of China
Homepage
same name
  • Yipeng Liu — 45 papers, h 20
  • Yipeng Liu — 3 papers, h 0
  • Yipeng Liu — 1 paper, h 2
  • Yipeng Liu — 1 paper, h 45

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
20102020
most citedAMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing

309 citations · 493 across the 39 of their papers we have counts for

collaborators
Showing 2012 · cs.ITShow all

4 papers · 2 filters

cs.IT2012★ 2 cited

Strongly Convex Programming for Principal Component Pursuit

Qingshan You, Qun Wan, Yipeng Liu

In this paper, we address strongly convex programming for princi- pal component pursuit with reduced linear measurements, which decomposes a superposition of a low-rank matrix and…

cs.IT2012★ 1 cited

A Fast HRRP Synthesis Algorithm with Sensing Dictionary in GTD Model

Rong Fan, Qun Wan, Xiao Zhang +2

To achieve high range resolution profile (HRRP), the geometric theory of diffraction (GTD) parametric model is widely used in stepped-frequency radar system. In the paper, a fast s…

cs.IT2012★ 6 cited

Complex Orthogonal Matching Pursuit and Its Exact Recovery Conditions

Rong Fan, Qun Wan, Yipeng Liu +2

In this paper, we present new results on using orthogonal matching pursuit (OMP), to solve the sparse approximation problem over redundant dictionaries for complex cases (i.e., com…

cs.IT2012★ 1 cited

Multi-Sparse Signal Recovery for Compressive Sensing

Yipeng Liu, Ivan Gligorijevic, Vladimir Matic +2

Signal recovery is one of the key techniques of Compressive sensing (CS). It reconstructs the original signal from the linear sub-Nyquist measurements. Classical methods exploit th…

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