<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>High-Dimensional | Hao Yan</title><link>https://hyan46.github.io/tag/high-dimensional/</link><atom:link href="https://hyan46.github.io/tag/high-dimensional/index.xml" rel="self" type="application/rss+xml"/><description>High-Dimensional</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-US</language><copyright>© 2026 Hao Yan</copyright><lastBuildDate>Fri, 01 Jan 2021 00:00:00 +0000</lastBuildDate><image><url>https://hyan46.github.io/media/icon_hudffdcafa99c609c7e4dfde01dba38f93_35970_512x512_fill_lanczos_center_3.png</url><title>High-Dimensional</title><link>https://hyan46.github.io/tag/high-dimensional/</link></image><item><title>Adaptive Change Point Monitoring for High-Dimensional Data</title><link>https://hyan46.github.io/publication/wu-adaptive-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/wu-adaptive-2021/</guid><description/></item><item><title>Image Decomposition-Based Sparse Extreme Pixel-Level Feature Detection Model with Application to Medical Images</title><link>https://hyan46.github.io/publication/lahoti-image-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/lahoti-image-2021/</guid><description/></item><item><title>Real-Time Detection of Clustered Events in Video-Imaging Data with Applications to Additive Manufacturing</title><link>https://hyan46.github.io/publication/yan-realtime-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/yan-realtime-2021/</guid><description/></item><item><title>Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data</title><link>https://hyan46.github.io/publication/gahrooei-multiple-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/gahrooei-multiple-2020/</guid><description/></item></channel></rss>