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
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.· IEEE transactions on computa...· 0 citations
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...
Zhongming Yao, Junchang Xin, Yumeng Song et al.· 0 citations
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