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Ping Liu

22 papers hereh-index 193.4k citations44 works total

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

author position
  • first author9
  • middle author8
  • last author4

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • eess.IV6
  • eess.SP2
  • math-ph2
  • cs.IT1
  • cs.LG1
same name
  • Ping Liu — 13 papers, h 80
  • Ping Liu — 11 papers, h 6
  • Ping Liu — 10 papers, h 5
  • Ping Liu — 10 papers, h 3
  • Ping Liu — 8 papers, h 5
  • Ping Liu — 6 papers, 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
20182023
most citedAdversarial Style Mining for One-Shot Unsupervised Domain Adaptation

66 citations · 194 across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.LG2020★ 3 cited

Federated Generative Adversarial Learning

Chenyou Fan, Ping Liu

This work studies training generative adversarial networks under the federated learning setting. Generative adversarial networks (GANs) have achieved advancement in various real-wo…

cs.CV2020★ 66 cited

Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation

Yawei Luo, Ping Liu, Tao Guan +2

We aim at the problem named One-Shot Unsupervised Domain Adaptation. Unlike traditional Unsupervised Domain Adaptation, it assumes that only one unlabeled target sample can be avai…

cs.IT2020★ 4 cited

A Theory of Computational Resolution Limit for Line Spectral Estimation

Ping Liu, Hai Zhang

Line spectral estimation is a classical signal processing problem that aims to estimate the line spectra from their signal which is contaminated by deterministic or random noise. D…

cs.CV2020★ 41 cited

Face Hallucination with Finishing Touches

Yang Zhang, Ivor W. Tsang, Jun Li +3

Obtaining a high-quality frontal face image from a low-resolution (LR) non-frontal face image is primarily important for many facial analysis applications. However, mainstreams eit…

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