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researcher

Dong Zhang

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV2
  • cs.CL1
  • eess.IV1
ORCID 0000-0003-2322-9644
same name
  • Dong Zhang — 8 papers
  • Dong Zhang — 5 papers, h 12
  • Dong Zhang — 4 papers, h 14
  • Dong Zhang — 4 papers
  • Dong Zhang — 4 papers
  • Dong Zhang — 3 papers, h 10

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
20232025
most citedDUB: Discrete Unit Back-translation for Speech Translation

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2025

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa

Rancy Chepchirchir, Jill Sunday, Raymond Confidence +5

In Sub-Saharan Africa (SSA), the utilization of lower-quality Magnetic Resonance Imaging (MRI) technology raises questions about the applicability of machine learning methods for c…

cs.CV2025

Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion

Dong Zhang, Kwang-Ting Cheng

Thanks to the recent achievements in task-driven image quality enhancement (IQE) models like ESTR, the image enhancement model and the visual recognition model can mutually enhance…

cs.CV2024

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

Hao Tang, Zechao Li, Dong Zhang +2

RGB-Thermal Salient Object Detection aims to pinpoint prominent objects within aligned pairs of visible and thermal infrared images. Traditional encoder-decoder architectures, whil…

cs.CL2023★ 2 cited

DUB: Discrete Unit Back-translation for Speech Translation

Dong Zhang, Rong Ye, Tom Ko +2

How can speech-to-text translation (ST) perform as well as machine translation (MT)? The key point is to bridge the modality gap between speech and text so that useful MT technique…

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