<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>W. Jiang | 南京理工大学智能媒体分析实验室</title><link>https://imag-njust.net/author/w.-jiang/</link><atom:link href="https://imag-njust.net/author/w.-jiang/index.xml" rel="self" type="application/rss+xml"/><description>W. Jiang</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>zh-Hans</language><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://imag-njust.net/media/logo.svg</url><title>W. Jiang</title><link>https://imag-njust.net/author/w.-jiang/</link></image><item><title>Optimizing Unnormalized Statistical Models through Compositional Optimization</title><link>https://imag-njust.net/publication/2025-tpami-optimizing-unnormalized-statistical-models-through-compositional-optimization/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://imag-njust.net/publication/2025-tpami-optimizing-unnormalized-statistical-models-through-compositional-optimization/</guid><description/></item><item><title>Revisiting Stochastic Multi-Level Compositional Optimization</title><link>https://imag-njust.net/publication/2025-tpami-revisiting-stochastic-multi-level-compositional-optimization/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://imag-njust.net/publication/2025-tpami-revisiting-stochastic-multi-level-compositional-optimization/</guid><description/></item></channel></rss>