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Jun-Chang Xin

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Review Open access Aug 2026

Artificial intelligence across Organ-on-a-Chip workflows: current implementations and future approaches

Organ-on-a-Chip (OoC) systems use microfluidic and tissue engineering techniques to recreate key features of organ microenvironments. They have become a common platform for disease modelling and drug screening. As OoC technologies advance, they generate larger and more diverse datasets. Traditional manual analysis and...

Jing-Rui Li, Jun-Chang Xin, Lu-Xuan Qu et al. · 0 citations
Preprint Sep 2026

SUCRe: Selective Uncertainty-Aware Contrastive Representation for Graph Transfer Learning

This work introduces structure-aware entropy-based matching discrepancy, which jointly models feature uncertainty and structural coherence to ensure accurate feature adaptation between graphs and develops a domain-aware semi-hard negative sampling strategy that constructs informative contrastive sets by filtering unrel...

Ming-Can Wang, Jun-Chang Xin, Zhong-Ming Yao et al. · 0 citations
Jul 2026

CSD-GCN: Cross-Modal Self-Distillation Graph Convolutional Network for Alzheimer's Disease Diagnosis.

Alzheimer's disease (AD) is a prevalent neurode generative disorder that demands more comprehensive and precise modeling to unravel its complex pathological mechanisms and multidimensional brain network abnormalities. However, current brain network analysis approaches often suffer from limitations such as single-modal...

Junchang Xin, Jinying Tao, Qi Chen et al. · 0 citations
Preprint Aug 2026

VTRQ: Enabling Verifiable Trajectory Range Queries in Hybrid-Storage Blockchains

Due to their increasingly large volumes, outsourcing of trajectory storage and querying to third-party service providers has become attractive. However, in such outsourced environments, service providers may return incorrect, e.g., incomplete, tampered, or invalid query results, making verifiability of query results an...

Zhong-Ming Yao, Jun-Chang Xin, Yumeng Song et al. · 1 citation

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