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Xiaogang Yuan

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Open access Aug 2026

GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT

Gradient-Aligned Active Federated Object Detection (GA-AFedOD), a unified framework that jointly optimizes annotation selection, client participation, and model aggregation as a constrained stochastic program, is proposed.

Zepeng Wang, Xiaogang Yuan, Jie Chen · 0 citations
Open access Aug 2026

DBINDS: detection based on initial noise difference sequence from diffusion model inversion for AI-generated videos

DBINDS, a diffusion-model-inversion-based detection framework that extends the analysis from the pixel domain to a diffusion-inversion-derived latent-noise space, is proposed and a composite of spatiotemporal correlation and spatiotemporal texture features is identified as the Best Dual Combination.

Yan-Lin Wu, Xiaogang Yuan, Dezhi An · 0 citations

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