<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cross-Domain Learning | Yuhai Li's Homepage</title><link>https://www.yuhaili.com/tags/cross-domain-learning/</link><atom:link href="https://www.yuhaili.com/tags/cross-domain-learning/index.xml" rel="self" type="application/rss+xml"/><description>Cross-Domain Learning</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Mon, 08 Jun 2026 00:00:00 +0000</lastBuildDate><image><url>img/map[gravatar:%!s(bool=false) shape:circle]</url><title>Cross-Domain Learning</title><link>https://www.yuhaili.com/tags/cross-domain-learning/</link></image><item><title>DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction</title><link>https://www.yuhaili.com/publication/duet/</link><pubDate>Mon, 08 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.yuhaili.com/publication/duet/</guid><description/></item></channel></rss>