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Yu-An Huang

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Book Open access Aug 2026

Multi-Hop Diffusion-Wavelet Semantic Learning for Zero-Shot Circrna-Mirna Interaction Prediction

Circular RNAs (circRNAs) and microRNAs (miRNAs) are key regulators in various biological processes, and identifying their interactions is vital for elucidating disease mechanisms. However, due to the high experimental cost and limited coverage of known circRNA-miRNA interactions (CMIs), there is a pressing need for com...

Mengmeng Wei, Lei Wang, Peng-Wei Hu et al. · 0 citations
#machine learning Preprint Sep 2026

More Sensors Only One Field: Rethinking Continual Spatio-Temporal Forecasting

Continual spatio-temporal forecasting supports traffic management and environmental monitoring under evolving dynamics and expanding sensor networks. However, conventional graph-based continual learning methods tie forecasting representations to the current sensor layout, so sensor expansion can alter the representatio...

Le-Wei Xie, Hao-Yu Zhang, Jia-Jun Zhou et al. · 0 citations
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
Open access Jul 2026

CSGDA: A Cell State-Guided Graph Domain Adaptation Network for Single-Cell Drug Response Prediction

CSGDA, a cell state-guided graph domain adaptation framework designed to predict drug responses across biological heterogeneities, is introduced, demonstrating superior performance in single-cell drug response prediction and its potential in resolving single-cell heterogeneity, paving the way for precision medicine.

Fen Yan, Xi-Yue Cao, Feiqiao Mao 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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