<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Process | Hao Yan</title><link>https://hyan46.github.io/tag/process/</link><atom:link href="https://hyan46.github.io/tag/process/index.xml" rel="self" type="application/rss+xml"/><description>Process</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-US</language><copyright>© 2026 Hao Yan</copyright><lastBuildDate>Sun, 01 Jan 2023 00:00:00 +0000</lastBuildDate><image><url>https://hyan46.github.io/media/icon_hudffdcafa99c609c7e4dfde01dba38f93_35970_512x512_fill_lanczos_center_3.png</url><title>Process</title><link>https://hyan46.github.io/tag/process/</link></image><item><title>Tensor dirichlet process multinomial mixture model with graphs for passenger trajectory clustering</title><link>https://hyan46.github.io/publication/li-tensor-dpmm-sigspatial-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-tensor-dpmm-sigspatial-2023/</guid><description/></item><item><title>Image-based process monitoring using low-rank tensor decomposition</title><link>https://hyan46.github.io/publication/yan-imagebased-2015/</link><pubDate>Wed, 01 Jan 2014 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/yan-imagebased-2015/</guid><description/></item></channel></rss>