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Author

Yung-Hui Li

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Aug 2026

Optimizing Fidelity-Perception Tradeoff via Large Vision–Language Model Prior for Image Compression

Current neural image compression (NIC) methods primarily focus on signal fidelity optimization. While perceptually optimized codecs can generate decoded images that better align with human visual preferences at equivalent bitrates, they raise authenticity concerns due to potential deviations from the original content....

Yu-Dong Mao, Pei-Lin Chen, Hao Luo et al. · 0 citations
Open access Jul 2026

Uncertainty-Guided Adaptive Knowledge Distillation for Lightweight Cross-Domain Object Detection

This article introduces Uncertainty-Guided Adaptive Knowledge Distillation (UGAKD), a novel framework designed to enhance UDA while simultaneously reducing model size through targeted knowledge distillation and proposing a two-stage, difficulty-aware training scheme to facilitate learning.

Wei-Lun Tseng, Yi-Lun Wu, Yung-Hui Li et al. · 0 citations
Jul 2026

AI-augmented optimization of electric machine parameters via permutation importance and dynamic sampling: a motor study

The framework is the first, to the best of the authors’ knowledge, to integrate explainable permutation importance with dynamically reweighted TPE sampling for constrained electric-machine optimization, simultaneously enhancing feasibility, performance and parameter diversity.

Yi-Rong Lin, Chang-Yi Kao, Nien-Yi Jan et al. · 0 citations

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