<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Ziyu Chen | NVIDIA ASPIRE Group</title>
    <link>https://research.nvidia.com/labs/aspire/author/ziyu-chen/</link>
      <atom:link href="https://research.nvidia.com/labs/aspire/author/ziyu-chen/index.xml" rel="self" type="application/rss+xml" />
    <description>Ziyu Chen</description>
    <generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Thu, 11 Dec 2025 18:59:46 +0000</lastBuildDate>
    <image>
      <url>https://research.nvidia.com/labs/aspire/images/logo_hu2fe6632db44d28c9b9d53edd3914c1d6_112452_300x300_fit_lanczos_3.png</url>
      <title>Ziyu Chen</title>
      <link>https://research.nvidia.com/labs/aspire/author/ziyu-chen/</link>
    </image>
    
    <item>
      <title>Towards Efficient and Effective Multi-Camera Encoding for End-to-End Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/yang.chen.etal.arxiv2025/</link>
      <pubDate>Thu, 11 Dec 2025 18:59:46 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/yang.chen.etal.arxiv2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>OmniRe: Omni Urban Scene Reconstruction</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.yang.etal.iclr2025/</link>
      <pubDate>Sat, 19 Apr 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.yang.etal.iclr2025/</guid>
      <description></description>
    </item>
    
  </channel>
</rss>
