<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Urban region representation | 曹劲舟（Jinzhou Cao）</title><link>https://www.caojz.cn/tag/urban-region-representation/</link><atom:link href="https://www.caojz.cn/tag/urban-region-representation/index.xml" rel="self" type="application/rss+xml"/><description>Urban region representation</description><generator>Wowchemy (https://wowchemy.com)</generator><language>zh-Hans</language><lastBuildDate>Wed, 01 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://www.caojz.cn/media/icon_hucd21c794c6dbb933d17880a293936503_52255_512x512_fill_lanczos_center_3.png</url><title>Urban region representation</title><link>https://www.caojz.cn/tag/urban-region-representation/</link></image><item><title>RAMEN: Region-Adaptive Mixture of Ego-Networks for Multimodal Geospatial Fusion in Urban Region Representation</title><link>https://www.caojz.cn/publication/dai-ramen-2026/</link><pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.caojz.cn/publication/dai-ramen-2026/</guid><description/></item><item><title>UrbanMMCL: Urban Region Representations via Multi-Modal and Multi-Graph Self-Supervised Contrastive Learning</title><link>https://www.caojz.cn/publication/cao-urbanmmcl-2026/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.caojz.cn/publication/cao-urbanmmcl-2026/</guid><description/></item></channel></rss>