<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jiuyun Hu | Hao Yan</title><link>https://hyan46.github.io/authors/jiuyun-hu/</link><atom:link href="https://hyan46.github.io/authors/jiuyun-hu/index.xml" rel="self" type="application/rss+xml"/><description>Jiuyun Hu</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-US</language><copyright>© 2026 Hao Yan</copyright><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://hyan46.github.io/authors/jiuyun-hu/avatar_huaa6582561a845f5db31ab3f520033400_22535_270x270_fill_q75_lanczos_center.jpg</url><title>Jiuyun Hu</title><link>https://hyan46.github.io/authors/jiuyun-hu/</link></image><item><title>Jiuyun Hu</title><link>https://hyan46.github.io/authors/jiuyun-hu/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/authors/jiuyun-hu/</guid><description>&lt;h1 id="research-interest">Research Interest&lt;/h1>
&lt;p>Develop tensor learning, Bayesian learning models for classification, segmentation on image and signal data for anomaly detection, prediction on signal data, time series, etc.&lt;/p></description></item><item><title>Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling</title><link>https://hyan46.github.io/publication/sergin-low-rank-tensor-ijds-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/sergin-low-rank-tensor-ijds-2025/</guid><description/></item><item><title>Personalized tucker decomposition: Modeling commonality and peculiarity on tensor data</title><link>https://hyan46.github.io/publication/hu-personalized-tucker-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/hu-personalized-tucker-2025/</guid><description/></item><item><title>Sparse decomposition methods for spatio-temporal anomaly detection</title><link>https://hyan46.github.io/publication/yan-sparse-decomposition-springer-chapter-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/yan-sparse-decomposition-springer-chapter-2024/</guid><description/></item><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></channel></rss>