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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<meta
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name="description"
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content="Academic homepage of Haofei Song, a Ph.D. student working on medical image processing and image restoration."
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/>
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<meta name="author" content="Haofei Song" />
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<title>Haofei Song | Academic Homepage</title>
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<link rel="stylesheet" href="stylesheet.css" />
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</head>
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<body>
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<main class="page-shell">
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<header class="profile">
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<div class="profile-copy">
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<!-- <h1>Haofei Song <span class="cn-name">宋昊飞</span></h1> -->
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<h1>Haofei Song (宋昊飞)</h1>
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<p>
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I am a Ph.D. student at
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<a href="https://english.ecnu.edu.cn/" target="_blank" rel="noreferrer">East China Normal University</a>,
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advised by <a href="https://wangyan921.github.io/" target="_blank" rel="noreferrer">Prof. Yan Wang</a>.
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My research interests include <strong>image restoration</strong>,
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<strong>vision-language models</strong>, and <strong>AI for biology</strong>.
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</p>
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<p>
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Before starting my Ph.D., I received my master's degree from East China Normal University, advised by <a href="https://wangyan921.github.io/" target="_blank" rel="noreferrer">Prof. Yan Wang</a>. And I worked as a research intern at <a href="https://www.huawei.com/en/" target="_blank" rel="noreferrer">Huawei</a> (2024-2025).
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</p>
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<nav class="profile-links" aria-label="Academic profiles">
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<a href="mailto:hfsong@stu.ecnu.edu.cn">Email</a>
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<span aria-hidden="true">/</span>
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<a href="https://scholar.google.com/citations?user=0TY6zn4AAAAJ" target="_blank" rel="noreferrer">Google Scholar</a>
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<span aria-hidden="true">/</span>
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<a href="https://github.com/eeeric-code" target="_blank" rel="noreferrer">GitHub</a>
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</nav>
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</div>
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<div class="portrait-wrap">
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<img src="images/haofei-song-life.png" alt="Haofei Song outdoors" class="portrait" />
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</div>
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</header>
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<section>
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<div class="section-heading">
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<h2>Publications</h2>
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</div>
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<article class="publication">
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<a class="paper-visual-link" href="https://arxiv.org/abs/2607.25393" target="_blank" rel="noreferrer" aria-label="View the DMCoStain paper">
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<img class="paper-thumbnail" src="images/publications/dmco-framework.png" alt="Overview of the DMCoStain framework" loading="lazy" />
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</a>
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<div class="paper-copy">
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<a class="paper-title" href="https://arxiv.org/abs/2607.25393" target="_blank" rel="noreferrer">
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Towards Reliable Stain Transfer: An Iterative Data-Model Co-Optimization Framework Based on Multimodal Expert-Guided Assessment
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</a>
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<p class="authors">
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Siyuan Xu, Yan Wang, <strong>Haofei Song</strong>, Lili Gao, Jiansheng Wang, Qing Zhang,
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Dan Huang, Boxiang Yun, Hongkai Xiong, Qingli Li
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</p>
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<p class="venue"><em>ACM Multimedia (ACM MM)</em>, 2026</p>
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<p class="paper-links">
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<a href="https://arxiv.org/abs/2607.25393" target="_blank" rel="noreferrer">paper</a>
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<span>/</span>
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<a href="https://github.com/SikangSHU/DMCoStain" target="_blank" rel="noreferrer">code</a>
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</p>
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<!-- <p class="paper-summary">A data-model co-optimization framework for reliable and interpretable virtual IHC staining.</p> -->
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</div>
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</article>
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<article class="publication featured">
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<a class="paper-visual-link" href="https://arxiv.org/abs/2606.26716" target="_blank" rel="noreferrer" aria-label="View the DP-NSL paper">
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<img class="paper-thumbnail" src="images/publications/dpnsl-framework.png" alt="Overview of the DP-NSL framework" loading="lazy" />
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</a>
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<div class="paper-copy">
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<a class="paper-title" href="https://arxiv.org/abs/2606.26716" target="_blank" rel="noreferrer">
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Dual-Prior Guided Null-Space Learning with Mixture-of-Splines for Arbitrary Medical Slice Super-Resolution
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</a>
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<p class="authors"><strong>Haofei Song</strong>, Siyuan Xu, Xintian Mao, Shaojie Guo, Qingli Li, Yan Wang</p>
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<p class="venue"><em>European Conference on Computer Vision (ECCV)</em>, 2026</p>
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<p class="paper-links">
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<a href="https://arxiv.org/abs/2606.26716" target="_blank" rel="noreferrer">paper</a>
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<span>/</span>
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<a href="https://github.com/DeepMed-Lab-ECNU/Medical-Image-Reconstruction" target="_blank" rel="noreferrer">code</a>
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</p>
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<!-- <p class="paper-summary">Measurement-consistent arbitrary-scale medical slice reconstruction with geometry-aware spline priors.</p> -->
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</div>
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</article>
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<article class="publication">
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<a class="paper-visual-link" href="https://arxiv.org/abs/2605.23282" target="_blank" rel="noreferrer" aria-label="View the DGNO paper">
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<img class="paper-thumbnail" src="images/publications/dgno-framework.png" alt="Architecture of the DGNO pathology deblurring method" loading="lazy" />
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</a>
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<div class="paper-copy">
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<a class="paper-title" href="https://arxiv.org/abs/2605.23282" target="_blank" rel="noreferrer">
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Discontinuous Galerkin Neural Operator for Pathology Defocus Deblurring
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</a>
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<p class="authors">Shaoqing Duan, <strong>Haofei Song</strong>, Xintian Mao, Qingli Li, Yan Wang</p>
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<p class="venue"><em>International Conference on Machine Learning (ICML)</em>, 2026</p>
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<p class="paper-links">
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<a href="https://arxiv.org/abs/2605.23282" target="_blank" rel="noreferrer">paper</a>
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<span>/</span>
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<a href="https://github.com/DeepMed-Lab-ECNU/Single-Image-Deblur" target="_blank" rel="noreferrer">code</a>
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</p>
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<!-- <p class="paper-summary">A neural operator formulation for spatially varying and locally discontinuous pathology blur.</p> -->
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</div>
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</article>
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<article class="publication">
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<a class="paper-visual-link" href="https://arxiv.org/abs/2511.21132" target="_blank" rel="noreferrer" aria-label="View the DeepRFTv2 paper">
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<img class="paper-thumbnail" src="images/publications/deeprftv2-framework.png" alt="Architecture and building blocks of DeepRFTv2" loading="lazy" />
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</a>
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<div class="paper-copy">
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<a class="paper-title" href="https://arxiv.org/abs/2511.21132" target="_blank" rel="noreferrer">
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DeepRFTv2: Kernel-Level Learning for Image Deblurring
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</a>
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<p class="authors">Xintian Mao, <strong>Haofei Song</strong>, Yin-Nian Liu, Qingli Li, Yan Wang</p>
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<p class="venue"><em>arXiv preprint</em>, 2025</p>
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<p class="paper-links">
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<a href="https://arxiv.org/abs/2511.21132" target="_blank" rel="noreferrer">paper</a>
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<span>/</span>
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<a href="https://github.com/DeepMed-Lab-ECNU/Single-Image-Deblur" target="_blank" rel="noreferrer">code</a>
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</p>
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<!-- <p class="paper-summary">Fourier kernel estimation enables a deblurring network to learn the blur process at kernel level.</p> -->
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</div>
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</article>
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<article class="publication">
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<a class="paper-visual-link" href="https://www.ijcai.org/proceedings/2025/236" target="_blank" rel="noreferrer" aria-label="View the ATST-Net paper">
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<img class="paper-thumbnail" src="images/publications/atst-framework.png" alt="Overview of the ATST-Net framework" loading="lazy" />
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</a>
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<div class="paper-copy">
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<a class="paper-title" href="https://www.ijcai.org/proceedings/2025/236" target="_blank" rel="noreferrer">
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Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision
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</a>
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<p class="authors">Siyuan Xu, <strong>Haofei Song</strong>, Yingjiao Deng, Jiansheng Wang, Yan Wang, Qingli Li</p>
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<p class="venue"><em>International Joint Conference on Artificial Intelligence (IJCAI)</em>, 2025</p>
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<p class="paper-links">
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<a href="https://www.ijcai.org/proceedings/2025/236" target="_blank" rel="noreferrer">paper</a>
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<span>/</span>
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<a href="https://github.com/SikangSHU/ATST-Net" target="_blank" rel="noreferrer">code</a>
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</p>
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<!-- <p class="paper-summary">Human annotation-free auxiliary supervision for pathologically consistent virtual staining.</p> -->
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</div>
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</article>
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<article class="publication">
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<a class="paper-visual-link" href="https://doi.org/10.1145/3664647.3681441" target="_blank" rel="noreferrer" aria-label="View the GeNSeg-Net paper">
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<img class="paper-thumbnail" src="images/publications/genseg-framework.png" alt="Overview of the GeNSeg-Net framework" loading="lazy" />
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</a>
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<div class="paper-copy">
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<a class="paper-title" href="https://doi.org/10.1145/3664647.3681441" target="_blank" rel="noreferrer">
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GeNSeg-Net: A General Segmentation Framework for Any Nucleus in Immunohistochemistry Images
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</a>
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<p class="authors">Siyuan Xu, Guannan Li, <strong>Haofei Song</strong>, Jiansheng Wang, Yan Wang, Qingli Li</p>
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<p class="venue"><em>ACM Multimedia (ACM MM)</em>, 2024</p>
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<p class="paper-links"><a href="https://doi.org/10.1145/3664647.3681441" target="_blank" rel="noreferrer">paper</a></p>
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<!-- <p class="paper-summary">A general framework for segmenting diverse nuclei in immunohistochemistry images.</p> -->
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</div>
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</article>
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<article class="publication">
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<a class="paper-visual-link" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/3655_ECCV_2024_paper.php" target="_blank" rel="noreferrer" aria-label="View the SVDSR paper">
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<img class="paper-thumbnail" src="images/publications/svdsr-framework.png" alt="Framework of the SVDSR degradation model" loading="lazy" />
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</a>
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<div class="paper-copy">
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<a class="paper-title" href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/3655_ECCV_2024_paper.php" target="_blank" rel="noreferrer">
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Spatially-Variant Degradation Model for Dataset-Free Super-Resolution
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</a>
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<p class="authors">Shaojie Guo, <strong>Haofei Song</strong>, Qingli Li, Yan Wang</p>
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<p class="venue"><em>European Conference on Computer Vision (ECCV)</em>, 2024</p>
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<p class="paper-links">
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<a href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/3655_ECCV_2024_paper.php" target="_blank" rel="noreferrer">paper</a>
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<span>/</span>
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<a href="https://github.com/DeepMed-Lab-ECNU/SVDSR" target="_blank" rel="noreferrer">code</a>
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</p>
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<!-- <p class="paper-summary">Pixel-wise spatially varying degradation modeling for dataset-free blind super-resolution.</p> -->
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</div>
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</article>
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<article class="publication featured">
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<a class="paper-visual-link" href="https://arxiv.org/abs/2405.02857" target="_blank" rel="noreferrer" aria-label="View the I3Net paper">
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<img class="paper-thumbnail" src="images/publications/i3net-framework.png.png" alt="Architecture and main blocks of the I3Net medical slice synthesis network" loading="lazy" />
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</a>
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<div class="paper-copy">
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<a class="paper-title" href="https://arxiv.org/abs/2405.02857" target="_blank" rel="noreferrer">
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I³Net: Inter-Intra-Slice Interpolation Network for Medical Slice Synthesis
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</a>
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<p class="authors"><strong>Haofei Song</strong>, Xintian Mao, Jing Yu, Qingli Li, Yan Wang</p>
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<p class="venue"><em>IEEE Transactions on Medical Imaging (TMI)</em>, 2024</p>
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<p class="paper-links">
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<a href="https://arxiv.org/abs/2405.02857" target="_blank" rel="noreferrer">paper</a>
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<span>/</span>
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<a href="https://github.com/eeeric-code/I3Net" target="_blank" rel="noreferrer">code</a>
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</p>
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<!-- <p class="paper-summary">Cross-view learning that combines through-plane and in-plane information for CT and MR slice synthesis.</p> -->
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</div>
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</article>
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</section>
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<section id="experience">
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<h2>Internship</h2>
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<article class="experience-entry">
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<p class="experience-line">
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<span class="experience-main">
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<strong>Huawei</strong>
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<span class="experience-description">Research on vision-language models and interactive open-world object detection.</span>
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</span>
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<span class="experience-date">2024.07-2025.06</span>
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</p>
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</article>
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</section>
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<section>
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<h2>Selected Honors</h2>
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<ul class="timeline-list">
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<li><span>2025</span> National Second Prize, 19th “Challenge Cup” Competition</li>
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<li><span>2025</span> Shanghai Grand Prize, 19th “Challenge Cup” Competition</li>
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<li><span>2025</span> Outstanding Master's Thesis, East China Normal University</li>
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<li><span>2025</span> Outstanding Graduate, East China Normal University</li>
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</ul>
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</section>
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<footer>
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<p>
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Last updated: August 2026 · Design adapted from
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<a href="https://jonbarron.info/" target="_blank" rel="noreferrer">Jon Barron's academic website</a>.
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</p>
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</footer>
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</main>
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</body>
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</html>

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