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Yan Wang

6 papers hereh-index 320 citations9 works total

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

author position
  • middle author1
  • last author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1
  • q-bio.QM1
same name
  • Yan Wang — 20 papers, h 9
  • Yan Wang — 16 papers, h 3
  • Yan Wang — 14 papers, h 7
  • Yan Wang — 12 papers, h 6
  • Yan Wang — 12 papers, h 4
  • Yan Wang — 11 papers, h 8

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
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Towards Reliable Stain Transfer: An Iterative Data-Model Co-Optimization Framework Based on Multimodal Expert-Guided Assessment

Siyuan Xu, Yan Wang, Haofei Song +7

Histopathological examination primarily relies on hematoxylin and eosin (H&E) and immunohistochemistry (IHC) staining. Although IHC provides critical molecular information, it is c…

cs.CV2025

Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation

Ling Zhang, Boxiang Yun, Qingli Li +1

Automated pathology report generation from Whole Slide Images (WSIs) faces two key challenges: (1) lack of semantic content in visual features and (2) inherent information redundan…

cs.CV2024

RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning

Yunhao Bai, Boxiang Yun, Zeli Chen +3

The Segment Anything Model 2 (SAM2) has recently demonstrated exceptional performance in zero-shot prompt segmentation for natural images and videos. However, when the propagation…

cs.CV2024

Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype

Yadong Lu, Shitian Zhao, Boxiang Yun +4

Despite recent progress in enhancing the efficacy of Open-Domain Continual Learning (ODCL) in Vision-Language Models (VLM), failing to (1) correctly identify the Task-ID of a test…

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