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researcher

Zhen Yu

9 papers hereh-index 161.1k citations26 works total

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

author position
  • first author3
  • middle author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • eess.IV1
same name
  • Zhen Yu — 5 papers, h 4
  • Zhen Yu — 3 papers, h 11
  • Zhen Yu — 3 papers, h 2
  • Zhen Yu — 3 papers, h 1
  • Zhen Yu — 2 papers, h 2
  • Zhen Yu — 2 papers, h 3

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
20202023
most citedEarly Melanoma Diagnosis with Sequential Dermoscopic Images

75 citations · 89 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 5 cited

PE-YOLO: Pyramid Enhancement Network for Dark Object Detection

Xiangchen Yin, Zhenda Yu, Zetao Fei +2

Current object detection models have achieved good results on many benchmark datasets, detecting objects in dark conditions remains a large challenge. To address this issue, we pro…

cs.CV2023★ 1 cited

Universal Semi-Supervised Learning for Medical Image Classification

Lie Ju, Yicheng Wu, Wei Feng +4

Semi-supervised learning (SSL) has attracted much attention since it reduces the expensive costs of collecting adequate well-labeled training data, especially for deep learning met…

cs.CV2023★ 2 cited

EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition

Siyuan Yan, Chi Liu, Zhen Yu +6

Skin lesion recognition using deep learning has made remarkable progress, and there is an increasing need for deploying these systems in real-world scenarios. However, recent resea…

cs.CV2023★ 2 cited

Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision

Siyuan Yan, Zhen Yu, Xuelin Zhang +5

Deep neural networks have demonstrated promising performance on image recognition tasks. However, they may heavily rely on confounding factors, using irrelevant artifacts or bias w…

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