Yingjian Zhang
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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
View-GFN: A Novel View-Based Graph Convolution and Sampling Fusion Network for 3D Shape Recognition
You are already at the latest version Three-dimensional (3D) shape recognition is a fundamental task in computer vision, where view-based methods have recently achieved state-of-the-art performance. However, effectively capturing and exploiting the rich geometric correspondences between different views remains a key challenge, as such information is crucial for accurate shape representation.
FreqMamba-Net: a frequency-enhanced state space model for fine-grained mucosal lesion segmentation in colonoscopy
Abstract Introduction: Accurate delineation of inflammatory lesions in colonoscopy is essential for the objective assessment of inflammatory bowel disease (IBD), yet remains challenging due to the diffuse distribution, subtle textural alterations, and ill-defined boundaries of mucosal inflammation. Conventional convolutional and attention-based segmentation models primarily rely on spatial morphology and struggle to capture the fine-grained patterns characteristic of IBD lesions.
Correction: Research on the optimization of public health emergency response systems in higher education institutions
A Correction on Research on the optimization of public health emergency response systems in higher education institutions by Wang, P., Yao, X., Yu, J., Chen, Y., Huang, F., Pan, X., and Zhang, Y. (2026). Front. Public Health 14:1761868. doi: 10.3389/fpubh.2026.1761868 An incorrect Funding statement was provided. The correct funder is Research and Practice Project on Higher Education Teaching Reform in Henan Province (No. 2021SJGLX378).
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