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Yong Zhang

5 papers hereh-index 243k citations98 works total

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

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • math.OC1
  • physics.med-ph1
  • stat.CO1
same name
  • Yong Zhang — 25 papers
  • Yong Zhang — 25 papers, h 20
  • Yong Zhang — 23 papers, h 30
  • Yong Zhang — 17 papers
  • Yong Zhang — 17 papers, h 13
  • Yong Zhang — 17 papers, h 23

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
20092023
most citedAn Augmented Lagrangian Approach for Sparse Principal Component Analysis

5 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 3 cited

Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation

Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei +1

Image-to-image translation models are shown to be vulnerable to the Membership Inference Attack (MIA), in which the adversary's goal is to identify whether a sample is used to trai…

physics.med-ph2018

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space

Geng Chen, Bin Dong, Yong Zhang +3

Diffusion MRI requires sufficient coverage of the diffusion wavevector space, also known as the q-space, to adequately capture the pattern of water diffusion in various directions…

stat.CO2010

An Alternating Direction Method for Finding Dantzig Selectors

Zhaosong Lu, Ting Kei Pong, Yong Zhang

In this paper, we study the alternating direction method for finding the Dantzig selectors, which are first introduced in [8]. In particular, at each iteration we apply the nonmono…

math.OC2009★ 5 cited

An Augmented Lagrangian Approach for Sparse Principal Component Analysis

Zhaosong Lu, Yong Zhang

Principal component analysis (PCA) is a widely used technique for data analysis and dimension reduction with numerous applications in science and engineering. However, the standard…

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