Youhan Sun — accepted AI-conference papers

2026

Deciphering Genotype-Phenotype Mechanisms from High-Content Profiling via Knowledge-Guided Multi-modal Graph Learning

Hanjing Lin, Jiahua Rao, Youhan Sun, Jiancong Xie, Yuedong Yang

CVPR 2026

Understanding genotype-phenotype relationships is pivotal for advancing biomedical research, drug discovery, and precision medicine. With the rise of high-throughput cellular imaging, it is essential to tightly integrate high-content cellular morphology with structured biological knowledge to extrac

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2026

Predicting Spatial Transcriptomics from Histology Images via High-Order Multi-Cell Interaction Modeling

Youhan Sun, Jiahua Rao, Kangrui Du, Jiancong Xie, Yuedong Yang

CVPR 2026

Spatial transcriptomics (ST) links gene expression to tissue architecture and enables predicting spatial expression from H&E-stained whole-slide images (WSIs). However, existing spot- or slide-level predictors focus on single-spot features or pairwise relations, failing to capture high-order, many-t

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