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Yu-Chen Li

4 papers hereh-index 7423 citations15 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV2
  • cs.CL1
  • eess.IV1
same name
  • Yu-Chen Li — 10 papers, h 6
  • Yu-Chen Li — 3 papers, h 1
  • Yu-chen Li — 2 papers, h 4
  • Yu-Chen Li — 1 paper, h 5
  • Yu-Chen Li — 1 paper, h 0
  • Yu-Chen Li — 1 paper, h 0

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
20222026
most citedEnsemble learning of pathology foundation models for precision oncology

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment

Yuchen Li, Ziru Wei, Zhen Zhao +2

Medical referring image segmentation (MRIS) predicts lesion masks from medical images and natural-language referring expressions, but acquiring paired pixel-level annotations and r…

cs.CL2026

EndPrompt: Efficient Long-Context Extension via Terminal Anchoring

Han Tian, Luxuan Chen, Xinran Chen +10

Extending the context window of large language models typically requires training on sequences at the target length, incurring quadratic memory and computational costs that make lo…

cs.CV2025★ 2 cited

Ensemble learning of pathology foundation models for precision oncology

Xiangde Luo, Xiyue Wang, Feyisope Eweje +24

Histopathology is essential for cancer diagnosis and treatment selection, and pathology foundation models learn visual representations from whole-slide images (WSIs). However, exis…

eess.IV2022

Keep It Accurate and Robust: An Enhanced Nuclei Analysis Framework

Wenhua Zhang, Sen Yang, Meiwei Luo +5

Accurate segmentation and classification of nuclei in histology images is critical but challenging due to nuclei heterogeneity, staining variations, and tissue complexity. Existing…

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