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Zhu-Hong You

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Sep 2026

ScGraphTrans: Pathway-Guided Graph Learning and Domain Adaptation for Cell Type Annotation in Single-Cell RNA-seq.

ScGraphTrans, a graph neural network framework that integrates functional state pseudo-labels, graph structure learning, and graph domain adaptation to improve both cell type annotation and communication inference, is proposed, offering insights into biomarker discovery and therapeutic strategies.

Yue-Chao Li, Hai-Ru You, Meng-Chao Wei et al. · 0 citations
2026

A Two-Stage Unified Refinement Framework With RS-Specific Priors for Remote Sensing Open-Vocabulary Segmentation

Vision–language pretrained models, particularly CLIP, have demonstrated remarkable zero-shot transfer capabilities across various image-level tasks, catalyzing the advancement of open-vocabulary semantic segmentation (OVSS) in remote sensing (RS). However, the direct deployment of CLIP to the RS domain is inherently co...

Jiayuan Li, Zhen Wang, Xiao Sun et al. · 0 citations
Jul 2026

Functionally Guided Graph Learning for Robust Cross-Patient Cell-Type Annotation in Single-Cell RNA Sequencing

Experiments on three cross-patient scRNA-seq data sets demonstrate that PathoGraph achieves stable annotation performance across 32 directed reference-to-query transfer tasks, showing competitive and stable performance compared with representative marker-based, correlation-based, and model-based annotation methods.

Yue C. Li, Mengmeng Wei, Xinfei Wang et al. · 0 citations

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