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National Yang Ming Chiao Tung University
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FETERS achieves state-of-the-art early time-series classification with just five labeled examples, outperforming existing methods on 44 datasets.
TRACE-CASH outperforms six leading optimization methods, achieving superior performance in time-series forecasting tasks.
A novel reward system boosts Qwen-Image-2.0's performance, achieving a 2.61 point increase in overall quality and significant gains in both text-to-image and image editing tasks.
Optimized timestep scheduling can dramatically enhance 3D CT reconstruction fidelity while slashing computational costs, even under strict sampling constraints.
A physics-grounded diffusion model trained on simulated data achieves state-of-the-art ultrasound despeckling, offering a practical route to improved image quality and diagnostic accuracy.
