<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Shenyang Ge | USTC-AGI Research Group</title><link>https://ustcagi.github.io/author/shenyang-ge/</link><atom:link href="https://ustcagi.github.io/author/shenyang-ge/index.xml" rel="self" type="application/rss+xml"/><description>Shenyang Ge</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>zh-Hans</language><lastBuildDate>Fri, 01 Apr 2022 00:00:00 +0000</lastBuildDate><image><url>https://ustcagi.github.io/media/icon_hu231a9f3d90830a95d1aa211c4f78b61f_100349_512x512_fill_lanczos_center_3.png</url><title>Shenyang Ge</title><link>https://ustcagi.github.io/author/shenyang-ge/</link></image><item><title>Towards Automatic Designing of Deep Hybrid Network Architecture for Sequential Recommendation</title><link>https://ustcagi.github.io/publication/cheng2022nasr/</link><pubDate>Fri, 01 Apr 2022 00:00:00 +0000</pubDate><guid>https://ustcagi.github.io/publication/cheng2022nasr/</guid><description/></item><item><title>Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement</title><link>https://ustcagi.github.io/publication/cheng2021implicit-feedback/</link><pubDate>Thu, 01 Jul 2021 00:00:00 +0000</pubDate><guid>https://ustcagi.github.io/publication/cheng2021implicit-feedback/</guid><description/></item></channel></rss>