<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Xinyi Jiang | Xu Lab</title><link>https://xushidang-lab.netlify.app/author/xinyi-jiang/</link><atom:link href="https://xushidang-lab.netlify.app/author/xinyi-jiang/index.xml" rel="self" type="application/rss+xml"/><description>Xinyi Jiang</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>Xinyi Jiang</title><link>https://xushidang-lab.netlify.app/author/xinyi-jiang/</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></channel></rss>