<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>3 | Zerui Wang</title><link>https://wang-zerui.github.io/publication-type/3/</link><atom:link href="https://wang-zerui.github.io/publication-type/3/index.xml" rel="self" type="application/rss+xml"/><description>3</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Thu, 02 Oct 2025 00:00:00 +0000</lastBuildDate><image><url>https://wang-zerui.github.io/media/icon_hu4446c73aadf9613dd1ea053ae7bd56af_77448_512x512_fill_lanczos_center_3.png</url><title>3</title><link>https://wang-zerui.github.io/publication-type/3/</link></image><item><title>Semantic-Aware Scheduling for GPU Clusters with Large Language Models</title><link>https://wang-zerui.github.io/publication/schedmate-full/</link><pubDate>Thu, 02 Oct 2025 00:00:00 +0000</pubDate><guid>https://wang-zerui.github.io/publication/schedmate-full/</guid><description/></item><item><title>RL in the Wild: Characterizing RLVR Training in LLM Deployment</title><link>https://wang-zerui.github.io/publication/rl-in-the-wild/</link><pubDate>Mon, 29 Sep 2025 00:00:00 +0000</pubDate><guid>https://wang-zerui.github.io/publication/rl-in-the-wild/</guid><description/></item><item><title>Efficient Training of Large Language Models on Distributed Infrastructures: A Survey</title><link>https://wang-zerui.github.io/publication/llm-training-survey/</link><pubDate>Mon, 29 Jul 2024 00:00:00 +0000</pubDate><guid>https://wang-zerui.github.io/publication/llm-training-survey/</guid><description/></item></channel></rss>