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Dong-Hyun Won

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Open access Aug 2026

Frequency–Time Domain Alignment for Cross-Subject Time-Series Classification Under Distribution Shift

FTDA (Frequency–Time Domain Alignment), an unsupervised domain-adaptation method that processes raw signals and their FFT-magnitude spectra through a dual-branch encoder, combines a Gradient-Reversal adversarial loss on the joint feature with a Multi-Kernel MMD on the frequency branch and applies a symmetric-KL time–fr...

Dong-Hyun Won, Kwang-Seung Shin · 0 citations
Open access Aug 2026

Confidence-Calibrated Consistency Matching for Semi-Supervised Image Classification Under Extreme Label Scarcity

This work proposes CCM (Confidence-Calibrated Consistency Matching)—a per-class curriculum threshold, a dual strong-view consistency loss, and a smooth confidence weighting that softly admits borderline pseudo-labels—together with a unified view in which FixMatch, FlexMatch, SoftMatch, and CCM instantiate a single gene...

Dong-Hyun Won, Hyuk-Gyu Park, Kwang-Seong Shin · 0 citations

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