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researcher

Yi Zhang

19 papers hereh-index 122.4k citations19 works total

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

author position
  • sole author1
  • first author3
  • middle author9
  • last author6

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

fields
  • cs.LG11
  • eess.IV3
  • cs.CV2
  • math.CO1
  • q-bio.QM1
  • stat.ML1
same name
  • Yi Zhang — 41 papers, h 22
  • Yi Zhang — 38 papers
  • Yi Zhang — 35 papers, h 37
  • Yi Zhang — 33 papers, h 9
  • Yi Zhang — 23 papers, h 11
  • Yi Zhang — 22 papers, h 18

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
20142022
most citedConvolutional neural networks with low-rank regularization

371 citations · 896 across the 18 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2022★ 1 cited

Neural Architecture Search generated Phase Retrieval Net for Real-time Off-axis Quantitative Phase Imaging

Xin Shu, Mengxuan Niu, Yi Zhang +2

In off-axis Quantitative Phase Imaging (QPI), artificial neural networks have been recently applied for phase retrieval with aberration compensation and phase unwrapping. However,…

eess.IV2021★ 22 cited

DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising

Zhizhong Huang, Junping Zhang, Yi Zhang +1

LDCT has drawn major attention in the medical imaging field due to the potential health risks of CT-associated X-ray radiation to patients. Reducing the radiation dose, however, de…

eess.IV2021★ 1 cited

Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction

Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia +3

We propose a provably convergent method, called Efficient Learned Descent Algorithm (ELDA), for low-dose CT (LDCT) reconstruction. ELDA is a highly interpretable neural network arc…

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