<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jiayu Huang | Hao Yan</title><link>https://hyan46.github.io/authors/jiayu-huang/</link><atom:link href="https://hyan46.github.io/authors/jiayu-huang/index.xml" rel="self" type="application/rss+xml"/><description>Jiayu Huang</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-US</language><copyright>© 2026 Hao Yan</copyright><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://hyan46.github.io/authors/jiayu-huang/avatar_hua6f2b80154ef32d7a297821ccff55847_301916_270x270_fill_q75_lanczos_center.jpg</url><title>Jiayu Huang</title><link>https://hyan46.github.io/authors/jiayu-huang/</link></image><item><title>Bayesian Entropy Neural Networks for physics-aware prediction</title><link>https://hyan46.github.io/publication/rathnakumar-benn-ress-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/rathnakumar-benn-ress-2026/</guid><description/></item><item><title>Jiayu Huang</title><link>https://hyan46.github.io/authors/jiayu-huang/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/authors/jiayu-huang/</guid><description>&lt;h1 id="research-interest">Research Interest&lt;/h1>
&lt;p>Develop knowledge-infused learning, deep 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>Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems</title><link>https://hyan46.github.io/publication/huang-multimodal-case-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/huang-multimodal-case-2025/</guid><description/></item><item><title>Image-based novel fault detection with deep learning classifiers using hierarchical labels</title><link>https://hyan46.github.io/publication/sergin-image-iise-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/sergin-image-iise-2024/</guid><description/></item><item><title>Uncertainty-based active learning by bayesian U-Net for multi-label cone-beam CT segmentation</title><link>https://hyan46.github.io/publication/huang-uncertainty-bayesian-unet-joen-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/huang-uncertainty-bayesian-unet-joen-2024/</guid><description/></item><item><title>Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints</title><link>https://hyan46.github.io/publication/huang-posterior-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/huang-posterior-2023/</guid><description/></item><item><title>Combining Anatomical Constraints and Deep Learning for 3-D CBCT Dental Image Multi-Label Segmentation</title><link>https://hyan46.github.io/publication/huang-combining-2021/</link><pubDate>Mon, 19 Apr 2021 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/huang-combining-2021/</guid><description/></item><item><title>Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection</title><link>https://hyan46.github.io/publication/huang-edge-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/huang-edge-2021/</guid><description/></item></channel></rss>