<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Foundation Models | Chunzheng Zhu</title><link>https://zhcz328.github.io/tag/foundation-models/</link><atom:link href="https://zhcz328.github.io/tag/foundation-models/index.xml" rel="self" type="application/rss+xml"/><description>Foundation Models</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 11 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://zhcz328.github.io/media/icon_huc9fe9d140a9bb016fbeeaa3ba1111928_724048_512x512_fill_lanczos_center_3.png</url><title>Foundation Models</title><link>https://zhcz328.github.io/tag/foundation-models/</link></image><item><title>Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation</title><link>https://zhcz328.github.io/publication/anaus/</link><pubDate>Mon, 11 May 2026 00:00:00 +0000</pubDate><guid>https://zhcz328.github.io/publication/anaus/</guid><description>&lt;p>AnaUS discovers unlabeled anatomical structures with an LP-SAM driven latent prompt engine and combines anatomy disentanglement alignment with core-region prediction for robust ultrasound representation learning.&lt;/p></description></item></channel></rss>