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Yi Fang

10 papers hereh-index 6193 citations14 works total

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

author position
  • first author3
  • middle author7

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.CY1
  • cs.LG1
  • eess.IV1
same name
  • Yi Fang — 36 papers, h 27
  • Yi Fang — 27 papers, h 6
  • Yi Fang — 22 papers, h 29
  • Yi Fang — 11 papers, h 4
  • Yi Fang — 9 papers, h 7
  • Yi Fang — 8 papers, h 6

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
20232026
most citedFairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling

3 citations · 6 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.CV2026

CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift

Yizhou Fang, Pujin Cheng, Yixiang Liu +2

Distribution shift in medical imaging remains a central bottleneck for the clinical translation of medical AI. Failure to address it can lead to severe performance degradation in u…

cs.CV2026

CRISP: Rank-Guided Iterative Squeezing for Robust Medical Image Segmentation under Domain Shift

Yizhou Fang, Pujin Cheng, Yixiang Liu +2

Distribution shift in medical imaging remains a central bottleneck for the clinical translation of medical AI. Failure to address it can lead to severe performance degradation in u…

cs.CV2026

LUMOS: Universal Semi-Supervised OCT Retinal Layer Segmentation with Hierarchical Reliable Mutual Learning

Yizhou Fang, Jian Zhong, Li Lin +1

Optical Coherence Tomography (OCT) layer segmentation faces challenges due to annotation scarcity and heterogeneous label granularities across datasets. While semi-supervised learn…

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