<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yajun Mei | Hao Yan</title><link>https://hyan46.github.io/authors/yajun-mei/</link><atom:link href="https://hyan46.github.io/authors/yajun-mei/index.xml" rel="self" type="application/rss+xml"/><description>Yajun Mei</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>Yajun Mei</title><link>https://hyan46.github.io/authors/yajun-mei/</link></image><item><title>Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection</title><link>https://hyan46.github.io/publication/hu-adaptive-2022/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/hu-adaptive-2022/</guid><description/></item><item><title>Adaptive partially observed sequential change detection and isolation</title><link>https://hyan46.github.io/publication/zhao-adaptive-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-adaptive-2022/</guid><description/></item><item><title>Rapid detection of hot-spots via tensor decomposition with applications to crime rate data</title><link>https://hyan46.github.io/publication/zhao-rapid-2021/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-rapid-2021/</guid><description/></item><item><title>Rapid Detection of Hot-Spot by Tensor Decomposition with Application to Weekly Gonorrhea Data</title><link>https://hyan46.github.io/publication/zhao-rapid-2019/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-rapid-2019/</guid><description/></item></channel></rss>