<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper-Conference | Xu Lab</title><link>https://xushidang-lab.netlify.app/publication-type/paper-conference/</link><atom:link href="https://xushidang-lab.netlify.app/publication-type/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://xushidang-lab.netlify.app/media/icon_hu16174698449664387463.png</url><title>Paper-Conference</title><link>https://xushidang-lab.netlify.app/publication-type/paper-conference/</link></image><item><title>AnyAvatar: High-Fidelity Gaussian Head Avatars under Uncalibrated Camera Settings</title><link>https://xushidang-lab.netlify.app/publication/2026-anyavatar/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://xushidang-lab.netlify.app/publication/2026-anyavatar/</guid><description>&lt;p>Accepted for ACM International Conference on Multimedia (ACM MM) 2026. Proceedings details will be added when available.&lt;/p>
&lt;p>&lt;a href="https://aishiweilai.github.io/AnyAvatar.github.io/" target="_blank" rel="noopener">Visit the authors’ project page&lt;/a>.&lt;/p></description></item><item><title>MPFusion-MIL: Morphology-Guided Fusion with Precise Cross-Scale Interaction for Whole Slide Image Analysis</title><link>https://xushidang-lab.netlify.app/publication/2026-mpfusion-mil/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://xushidang-lab.netlify.app/publication/2026-mpfusion-mil/</guid><description>&lt;p>Accepted for ACM International Conference on Multimedia (ACM MM) 2026. Proceedings details will be added when available.&lt;/p></description></item><item><title>PyraE2E: Enhancing End-to-End WSI Analysis via Cross-Scale Super-Resolution</title><link>https://xushidang-lab.netlify.app/publication/2026-pyrae2e/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://xushidang-lab.netlify.app/publication/2026-pyrae2e/</guid><description>&lt;p>Accepted for European Conference on Computer Vision (ECCV) 2026. Proceedings details will be added when available.&lt;/p>
&lt;p>&lt;a href="https://eccv.ecva.net/Conferences/2026/AcceptedPapers" target="_blank" rel="noopener">View the conference’s accepted-paper list&lt;/a>.&lt;/p></description></item><item><title>SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation</title><link>https://xushidang-lab.netlify.app/publication/2025-syncanimation/</link><pubDate>Fri, 01 Aug 2025 00:00:00 +0000</pubDate><guid>https://xushidang-lab.netlify.app/publication/2025-syncanimation/</guid><description>&lt;p>Read the &lt;a href="https://www.ijcai.org/proceedings/2025/185" target="_blank" rel="noopener">conference record&lt;/a> for the abstract and access options.&lt;/p></description></item><item><title>Physically Informed Deep Learning for Accelerated Photosensitizer Discovery</title><link>https://xushidang-lab.netlify.app/publication/79-virtual-aiche-annual-meeting-2020-physically-informed-deep-learning-for-accelerated-photosensitizer-discovery/</link><pubDate>Tue, 17 Nov 2020 00:00:00 +0000</pubDate><guid>https://xushidang-lab.netlify.app/publication/79-virtual-aiche-annual-meeting-2020-physically-informed-deep-learning-for-accelerated-photosensitizer-discovery/</guid><description/></item></channel></rss>