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#machine learning Preprint Sep 2026

Constrained Edit Fields for Training-Free Flow Editing

Constrained Edit Fields (CEF) achieves state-of-the-art Structure Distance, background LPIPS, and background MSE with both Stable Diffusion 3.5 Medium and FLUX, while retaining competitive instruction alignment.

Jing-Xuan Kang, Yin-Song Wang, Che Liu et al. · 0 citations
#machine learning Preprint Sep 2026

Prompt-Anchored Residual Adaptation for Biomedical Vision-Language Models

PARA is proposed, which retains the frozen prompt prediction as a support-invariant semantic anchor and incorporates a visual prediction learned from the support set through an anchor-relative residual and achieves state-of-the-art performance in both few-shot classification and base-to-novel generalization.

Jing-Xuan Kang, Qian-Ying Yue, Che Liu et al. · 0 citations
#artificial intelligence Preprint May 2025

FOCAL: Fine-Grained Optimal-Transport-Driven Contrastive Alignment of Language and ECGs with Waveform Enhancement

This paper proposes FOCAL, a novel framework that achieves precise, fine-grained alignment between localized ECG segments and individual report tags via Optimal Transport, and introduces a semantic similarity matrix to guide the contrastive objective and correct misalignments.

Hai-Tao Li, Che Liu, Zheng-Yao Ding et al. · 2 citations

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