<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Publication_backups | Hongpei Li</title><link>https://lhongpei.github.io/publication_backup/</link><atom:link href="https://lhongpei.github.io/publication_backup/index.xml" rel="self" type="application/rss+xml"/><description>Publication_backups</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 01 Jun 2025 00:00:00 +0000</lastBuildDate><image><url>https://lhongpei.github.io/media/icon_hu4326416101899553673.png</url><title>Publication_backups</title><link>https://lhongpei.github.io/publication_backup/</link></image><item><title>BenLOC: A Benchmark for Learning to Configure MIP Optimizers</title><link>https://lhongpei.github.io/publication_backup/li-benloc-2025/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://lhongpei.github.io/publication_backup/li-benloc-2025/</guid><description/></item><item><title>PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation</title><link>https://lhongpei.github.io/publication_backup/liu-pdhcg-2025/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://lhongpei.github.io/publication_backup/liu-pdhcg-2025/</guid><description/></item><item><title>OptPipe: Memory- and Scheduling-Optimized Pipeline Parallelism for LLM Training</title><link>https://lhongpei.github.io/publication_backup/li-2025-optpipememoryschedulingoptimizedpipeline/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://lhongpei.github.io/publication_backup/li-2025-optpipememoryschedulingoptimizedpipeline/</guid><description/></item><item><title>Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic Programming</title><link>https://lhongpei.github.io/publication_backup/huang-restarted-2024/</link><pubDate>Tue, 01 Oct 2024 00:00:00 +0000</pubDate><guid>https://lhongpei.github.io/publication_backup/huang-restarted-2024/</guid><description/></item><item><title>Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning</title><link>https://lhongpei.github.io/publication_backup/li-solving-2024/</link><pubDate>Sun, 01 Sep 2024 00:00:00 +0000</pubDate><guid>https://lhongpei.github.io/publication_backup/li-solving-2024/</guid><description/></item></channel></rss>