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Yanran Zhu

2 accepted papers

2026

When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering

AAAI 2026technical

Spatial transcriptomics enables gene expression profiling with spatial context, offering unprecedented insights into the tissue microenvironment. However, most computational models treat genes as isolated numerical features, ignoring the rich biological semantics encoded in their symbols. This preve

Cited by 0SourcePDFScholar
2025

Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation

IJCAI 2025

Spatial transcriptomics, comprising spatial location and high-throughput gene expression information, provides revolutionary insights into disease discovery and cellular evolution. Spatial transcriptomic clustering, which pinpoints distinct spatial domains within tissues, reveals cellular interactio

Cited by 0SourcePDFScholar