<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Low-rank approximation | Wang Research Group</title><link>https://www.quair.group/tag/low-rank-approximation/</link><atom:link href="https://www.quair.group/tag/low-rank-approximation/index.xml" rel="self" type="application/rss+xml"/><description>Low-rank approximation</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 14 Sep 2026 00:00:00 +0000</lastBuildDate><image><url>https://www.quair.group/media/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_3.png</url><title>Low-rank approximation</title><link>https://www.quair.group/tag/low-rank-approximation/</link></image><item><title>Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression</title><link>https://www.quair.group/publication/preprint/zhang2026per/</link><pubDate>Mon, 14 Sep 2026 00:00:00 +0000</pubDate><guid>https://www.quair.group/publication/preprint/zhang2026per/</guid><description>&lt;p>To appear in &lt;em>Findings of EMNLP 2026&lt;/em>.&lt;/p></description></item></channel></rss>