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Ying Tang

3 papers hereh-index 3166 citations5 works total

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

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • Ying Tang — 11 papers, h 4
  • Ying Tang — 9 papers, h 3
  • Ying Tang — 8 papers, h 6
  • Ying Tang — 7 papers, h 14
  • Ying Tang — 6 papers, h 2
  • Ying Tang — 5 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
20242026
most citedMulti-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection

8 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2026

DB-MSMUNet:Dual Branch Multi-scale Mamba UNet for Pancreatic CT Scans Segmentation

Qiu Guan, Zhiqiang Yang, Dezhang Ye +3

Accurate segmentation of the pancreas and its lesions in CT scans is crucial for the precise diagnosis and treatment of pancreatic cancer. However, it remains a highly challenging…

cs.CV2025★ 3 cited

MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection

Zhiqiang Yang, Qiu Guan, Zhongwen Yu +5

Due to the effective multi-scale feature fusion capabilities of the Path Aggregation FPN (PAFPN), it has become a widely adopted component in YOLO-based detectors. However, PAFPN s…

cs.CV2024★ 8 cited

Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection

Zhiqiang Yang, Qiu Guan, Keer Zhao +4

Due to the effective performance of multi-scale feature fusion, Path Aggregation FPN (PAFPN) is widely employed in YOLO detectors. However, it cannot efficiently and adaptively int…

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