<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>李玉端 | Cheng-Jun Wang</title><link>https://chengjun.github.io/authors/%E6%9D%8E%E7%8E%89%E7%AB%AF/</link><atom:link href="https://chengjun.github.io/authors/%E6%9D%8E%E7%8E%89%E7%AB%AF/index.xml" rel="self" type="application/rss+xml"/><description>李玉端</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>Copyright © Cheng-Jun Wang 2026 Know Yourself</copyright><lastBuildDate>Wed, 01 Feb 2023 11:33:49 +0800</lastBuildDate><image><url>https://chengjun.github.io/media/icon_huee78856177679f3c0297a865dd42e38b_9502_512x512_fill_lanczos_center_3.png</url><title>李玉端</title><link>https://chengjun.github.io/authors/%E6%9D%8E%E7%8E%89%E7%AB%AF/</link></image><item><title>人工智能时代媒体行业的技能与未来就业：基于机器学习和网络分析的方法</title><link>https://chengjun.github.io/publication/future-employment/</link><pubDate>Wed, 01 Feb 2023 11:33:49 +0800</pubDate><guid>https://chengjun.github.io/publication/future-employment/</guid><description>&lt;p>&lt;strong>引用&lt;/strong>:&lt;/p>
&lt;p>卢林艳、李玉端、王成军 * (2023) 人工智能时代媒体行业的技能与未来就业：基于机器学习和网络分析的方法. 新闻大学. 201(1):106-122.&lt;/p>
&lt;p>数据和代码&lt;/p>
&lt;p>&lt;a href="https://github.com/socrateslab/future-employment" target="_blank" rel="noopener">https://github.com/socrateslab/future-employment&lt;/a>&lt;/p></description></item></channel></rss>