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Ruogu Fang

4 papers hereh-index 225 citations5 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV3
  • cs.AI1
same name
  • Ruogu Fang — 6 papers, h 0
  • Ruogu Fang — 4 papers, h 5
  • Ruogu Fang — 2 papers, h 1
  • Ruogu Fang — 2 papers, h 3
  • Ruogu Fang — 1 paper, h 4
  • Ruogu Fang — 1 paper

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

collaborators

4 papers

cs.AI2026

REVEAL++: Differentiable Phenotypic Grouping for Vision-Language Retinal Modeling of Alzheimer's Disease Risk

Ethan Elio Meidinger, Seowung Leem, Zeyun Zhao +1

The retina offers a noninvasive window into neurodegenerative disease, capturing subtle structural patterns associated with a risk of future cognitive decline. Vision-language alig…

cs.CV2026

REVEAL: Multimodal Vision-Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction

Seowung Leem, Lin Gu, Chenyu You +2

The retina provides a unique, noninvasive window into Alzheimer's disease (AD) and dementia, capturing early structural changes through morphometric features, while systemic and li…

cs.CV2026

Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering

Shanlin Sun, Yifan Wang, Hanwen Zhang +5

While multi-step diffusion models have advanced both forward and inverse rendering, existing approaches often treat these problems independently, leading to cycle inconsistency and…

cs.CV2025

OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport

Qin Ren, Yifan Wang, Ruogu Fang +2

Survival prediction using whole slide images (WSIs) can be formulated as a multiple instance learning (MIL) problem. However, existing MIL methods often fail to explicitly capture…

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