Author

Kai-Chen Zhou

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Preprint Sep 2026

Honeycomb: Constant-Size Scene Memory Representation for Video World Models

Video world models require persistent scene memory to maintain consistency during long-horizon video generation. Existing spatial memories accumulate RGB observations or latent features, increasing storage requirements as generation proceeds. We introduce Honeycomb, a video world model built on HexMemory, our proposed...

J. Shi, Kai-Chen Zhou, Haoyu Chen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Representation-guided in-context learning for medical image interpretation with multimodal large language models

Medical image interpretation is central to diagnosis and care, yet adapting general-purpose multimodal large language models (MLLMs) often requires resource-intensive domain-specific fine-tuning. Here we introduce representation-guided in-context learning (RG-ICL), a training-free inference framework that retrieves que...

Min-Da Zhao, Fang-Yu Hu, Yan Luo et al. · 0 citations

Open access Jul 2026

Learning Ophthalmologist Clinical Reasoning for Glaucoma Diagnosis from Fundus Images

A reasoning-driven vision-language framework that explicitly models the ophthalmologist's diagnostic workflow by generating structured clinical reasoning prior to diagnosis is developed, demonstrating that explicitly modeling expert clinical reasoning simultaneously improves interpretability and diagnostic performance.

Kai-Chen Zhou, Yuzhen Chen, Elif Yildiz et al. · medRxiv · 0 citations