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Author

Kai Qiao

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Open access Aug 2026

A curriculum-guided unified framework for robust unsupervised domain adaptation on multi-cohort Parkinson’s disease diagnosis

Background Current artificial intelligence (AI) models for Parkinson’s disease (PD) diagnosis via magnetic resonance imaging (MRI) are significantly impeded by domain shift, and performance often decreases due to heterogeneity in imaging protocols and scanners across hospitals. While existing unsupervised domain adapta...

Yu Shen, Jinjin Hai, Kai Qiao et al. · 0 citations
Open access Jul 2026

BotCHF: camouflage-heterogeneity-aware fusion for social bot detection

A camouflage-heterogeneity-aware decision fusion framework for social bot detection (BotCHF), which adopts an alternating collaborative optimization strategy that periodically injects fine-tuned semantic features into the graph encoder, thereby progressively aligning semantic encoding with structural learning.

Xiao-Yu Wang, S. Shi, Kai Qiao et al. · 0 citations

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