<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Xinyu Zhao | Hao Yan</title><link>https://hyan46.github.io/authors/xinyu-zhao/</link><atom:link href="https://hyan46.github.io/authors/xinyu-zhao/index.xml" rel="self" type="application/rss+xml"/><description>Xinyu Zhao</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/xinyu-zhao/avatar_hu0a7cb346f7c1b6c7443a00de5611491b_35100_270x270_fill_q75_lanczos_center.jpg</url><title>Xinyu Zhao</title><link>https://hyan46.github.io/authors/xinyu-zhao/</link></image><item><title>Hierarchical Multilabel Classification for Fine-Level Event Extraction from Aviation Accident Reports</title><link>https://hyan46.github.io/publication/zhao-hierarchical-ijds-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-hierarchical-ijds-2025/</guid><description/></item><item><title>Partially observable Markov decision process framework for operating condition optimization using real-time degradation signals</title><link>https://hyan46.github.io/publication/xu-pomdp-degradation-jqt-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/xu-pomdp-degradation-jqt-2025/</guid><description/></item><item><title>Xinyu Zhao</title><link>https://hyan46.github.io/authors/xinyu-zhao/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/authors/xinyu-zhao/</guid><description>&lt;h1 id="research-interest">Research Interest&lt;/h1>
&lt;p>Develop machine learninng models and efficient real-time large-scale optimization algorithms for high-dimensional data (i.e., Images, profiles, signals) in different industrial systems and spatio-temporal systems for anomaly detection and system modeling&lt;/p></description></item><item><title>Optimizing Multiple Condition Policy Based on Real-time Degradation Signals via Model-based Reinforcement Learning</title><link>https://hyan46.github.io/publication/kang-optimizing-in-review/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/kang-optimizing-in-review/</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 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>Bayesian spatio-temporal graph transformer network (b-star) for multi-aircraft trajectory prediction</title><link>https://hyan46.github.io/publication/pang-bayesian-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/pang-bayesian-2022/</guid><description/></item><item><title>Deep spatio-temporal sparse decomposition for trend prediction and anomaly detection in cardiac electrical conduction</title><link>https://hyan46.github.io/publication/zhao-deep-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-deep-2022/</guid><description/></item><item><title>Event Extraction for aviation accident reports through attention-based multi-label classification</title><link>https://hyan46.github.io/publication/zhao-event-extraction-aiaa-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-event-extraction-aiaa-2022/</guid><description/></item><item><title>Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach</title><link>https://hyan46.github.io/publication/pang-data-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/pang-data-2021/</guid><description/></item><item><title>Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report</title><link>https://hyan46.github.io/publication/zhao-hierarchical-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-hierarchical-2021/</guid><description/></item><item><title>Simultaneous material microstructure classification and discovery via hidden Markov modeling of acoustic emission signals</title><link>https://hyan46.github.io/publication/zhao-simultaneous-2021/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-simultaneous-2021/</guid><description/></item><item><title>Spatio-Temporal Anomaly Detection, Diagnostics, and Prediction of the Air-Traffic Trajectory Deviation Using the Convective Weather</title><link>https://hyan46.github.io/publication/zhao-spatiotemporal-2019/</link><pubDate>Sun, 01 Sep 2019 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-spatiotemporal-2019/</guid><description/></item><item><title>Physics-Based Deep Spatio-Temporal Metamodeling for Cardiac Electrical Conduction Simulation</title><link>https://hyan46.github.io/publication/yan-physicsbased-2019/</link><pubDate>Thu, 01 Aug 2019 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/yan-physicsbased-2019/</guid><description/></item><item><title>Semi-supervised constrained hidden Markov model using multiple sensors for remaining useful life prediction and optimal predictive maintenance— For remaining useful life prediction and optimal predictive maintenance</title><link>https://hyan46.github.io/publication/zhao-semi-supervised-hmm-phm-2019/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zhao-semi-supervised-hmm-phm-2019/</guid><description/></item></channel></rss>