<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Award | HEAD Lab</title><link>https://verimaketest.github.io/tag/award/</link><atom:link href="https://verimaketest.github.io/tag/award/index.xml" rel="self" type="application/rss+xml"/><description>Award</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Nov 2025 00:00:00 +0000</lastBuildDate><image><url>https://verimaketest.github.io/media/icon_hu0ab5c02c1f2ff27bbe76bf3235245d1a_922260_512x512_fill_lanczos_center_3.png</url><title>Award</title><link>https://verimaketest.github.io/tag/award/</link></image><item><title>Gold Prize in the 2nd Global Digital Intelligence Education Innovation Competition</title><link>https://verimaketest.github.io/post/gold-prize-global-digital-intelligence-education-innovation-competition/</link><pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate><guid>https://verimaketest.github.io/post/gold-prize-global-digital-intelligence-education-innovation-competition/</guid><description>&lt;p>Our team won the Gold Prize (1st) in the AI for Science High-Performance Optimization group of the 2nd Global Digital Intelligence Education Innovation Competition.&lt;/p>
&lt;p>The team was led by Shidi Tang, with team members Yuedong Zhang, Ankun Tian, and Ruiqi Chen. The advisors were Ming Ling, Bruno da Silva, and Yanxiang Zhu.&lt;/p></description></item></channel></rss>