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Xiaofang Wu

As seen in: Nature, Wiley Online Library, PLOS Medicine, PLOS ONE, Frontiers, Frontiers in Public Health, MDPI, Taylor & Francis Online, The BMJ, BMC Genomics and
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Articles

CG-DDPM: a conditional-guided diffusion model for SAR vehicle image augmentation

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By Dan Gao, Xiaofang Wu, Zhijin Wen
| Taylor & Francis Online
ABSTRACT Synthetic Aperture Radar (SAR) image generation technology has achieved notable progress in data enhancement and augmentation, with Generative Adversarial Networks (GANs) being a predominant approach. However, GANs are prone to mode collapse due to their game-theoretic nature, resulting in limited diversity of generated images.
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WSO-YOLO11: a wavelet–strip-oriented YOLO11 framework for hot-rolled steel strip surface defect detection

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By Junwu Lin, Linxuan Chen, Cunhan Guo, Xiaofang Wu, Huilin Xu
| Nature Verified
Abstract Surface defects on hot-rolled steel strips are often small, slender, strip-like and low-contrast, so high-frequency details and elongated structures can be lost during conventional convolutional downsampling and feature fusion. To address these issues, we propose Wavelet–Strip-Oriented YOLO11 (WSO-YOLO11), a wavelet–strip prior enhanced network based on YOLO11s.
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Latent profiles of emotional intelligence and associated factors among clinical nurses: a cross-sectional study

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By Xiaofang Wu, Haowen Huang, Ting Liu, Ling Xia, La Pan
| Frontiers in Public Health Verified
Abstract Background: Clinical nurses in tertiary hospitals face high emotional labor, which can deplete emotional resources and lead to occupational burnout. Emotional intelligence is a crucial psychological resource for coping with such stress. This cross-sectional study aimed to use latent profile analysis to identify emotional intelligence profiles among clinical nurses and examine factors associated with profile membership.
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