Author

Jin-Hong Yang

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Open access 2026

Accuracy–Consistency Tradeoffs in Conservation-Constrained and Progressive-Cap PINNs for Inverse Source Identification

This work contributes an auditable benchmark and gate-based evaluation protocol, rather than a new physics-informed neural network (PINN) variant, for inverse source identification. The benchmark tests whether inverse accuracy, residual consistency, optimization adequacy, and identifiability agree in a one-dimensional...

Hyo-ju Park, Nam-hyun Yoo, Jin-Hong Yang · IEEE Access · 0 citations

Open access 2026

Prototype-Guided Diffusion Model for Multi-Class Unsupervised Anomaly Detection

Unsupervised Anomaly detection is important in industrial inspection and automation, where defects are rare, stochastic, and costly to annotate, while nominal data are abundant. Diffusion models have shown strong potential for unsupervised anomaly detection, where only normal data are available for training. However, s...

Jongmin Yu, Hyeontaek Oh, Zhong-Tian Sun et al. · IEEE Access · 0 citations