<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>News[awards]s | Jiyong Kim</title><link>https://zeeyong.github.io/newsawards/</link><atom:link href="https://zeeyong.github.io/newsawards/index.xml" rel="self" type="application/rss+xml"/><description>News[awards]s</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 12 Dec 2025 00:00:00 +0000</lastBuildDate><image><url>https://zeeyong.github.io/media/icon_hu15138530092267160928.png</url><title>News[awards]s</title><link>https://zeeyong.github.io/newsawards/</link></image><item><title>Title: Safe Reinforcement Learning for 3D Large Scale Constrained Layout Optimization</title><link>https://zeeyong.github.io/newsawards/ksme-2025-best-paper/</link><pubDate>Fri, 12 Dec 2025 00:00:00 +0000</pubDate><guid>https://zeeyong.github.io/newsawards/ksme-2025-best-paper/</guid><description>&lt;p>&lt;strong>Conference:&lt;/strong> 2025 KSME CAE and Applied Mechanics Division Fall Conference&lt;/p></description></item></channel></rss>