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Zhiqiang Liu

4 papers hereh-index 12529 citations52 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • eess.IV1
  • eess.SP1
same name
  • Zhiqiang Liu — 20 papers, h 5
  • Zhiqiang Liu — 17 papers, h 27
  • Zhiqiang Liu — 6 papers
  • Zhiqiang Liu — 5 papers
  • Zhiqiang Liu — 4 papers, h 2
  • Zhiqiang Liu — 3 papers, h 4

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
20182024
most citedCP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Focusing Image Generation to Mitigate Spurious Correlations

Xuewei Li, Zhenzhen Nie, Mei Yu +4

Instance features in images exhibit spurious correlations with background features, affecting the training process of deep neural classifiers. This leads to insufficient attention…

eess.IV2024★ 1 cited

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation

Ruiguo Yu, Yiyang Zhang, Yuan Tian +3

Deep learning-based segmentation methods are widely utilized for detecting lesions in ultrasound images. Throughout the imaging procedure, the attenuation and scattering of ultraso…

eess.SP2023

Windformer:Bi-Directional Long-Distance Spatio-Temporal Network For Wind Speed Prediction

Xuewei Li, Zewen Shang, Zhiqiang Liu +3

Wind speed prediction is critical to the management of wind power generation. Due to the large range of wind speed fluctuations and wake effect, there may also be strong correlatio…

cs.LG2018

Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space

Ruiguo Yu, Zhiqiang Liu, Xuewei Li +4

Wind power prediction is of vital importance in wind power utilization. There have been a lot of researches based on the time series of the wind power or speed, but In fact, these…

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