<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Article-Journal | Hao Yan</title><link>https://hyan46.github.io/publication-type/article-journal/</link><atom:link href="https://hyan46.github.io/publication-type/article-journal/index.xml" rel="self" type="application/rss+xml"/><description>Article-Journal</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/media/icon_hudffdcafa99c609c7e4dfde01dba38f93_35970_512x512_fill_lanczos_center_3.png</url><title>Article-Journal</title><link>https://hyan46.github.io/publication-type/article-journal/</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>Bayesian Optimization for Reactor Design Optimization</title><link>https://hyan46.github.io/publication/chen-bayesian-reactor-ans-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/chen-bayesian-reactor-ans-2025/</guid><description/></item><item><title>Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration</title><link>https://hyan46.github.io/publication/shi-diffusion-surrogate-tase-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/shi-diffusion-surrogate-tase-2025/</guid><description/></item><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>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>MOOSE ProbML: Parallelized probabilistic machine learning and uncertainty quantification for computational energy applications</title><link>https://hyan46.github.io/publication/dhulipala-moose-jocs-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/dhulipala-moose-jocs-2025/</guid><description/></item><item><title>Oral-anatomical knowledge-informed semi-supervised learning for 3D dental CBCT segmentation and lesion detection</title><link>https://hyan46.github.io/publication/lee-oral-anatomical-cbct-tase-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/lee-oral-anatomical-cbct-tase-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>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>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>Leveraging pretrained transformers for efficient segmentation and lesion detection in cone-beam computed tomography scans</title><link>https://hyan46.github.io/publication/chen-leveraging-transformers-cbct-joen-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/chen-leveraging-transformers-cbct-joen-2024/</guid><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 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for unstructured, varying-size point cloud data</title><link>https://hyan46.github.io/publication/biehler-antler-tase-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/biehler-antler-tase-2023/</guid><description/></item><item><title>ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data</title><link>https://hyan46.github.io/publication/biehler-antler-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/biehler-antler-2023/</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>Individualized Passenger Travel Pattern Multi-Clustering Based on Graph Regularized Tensor Latent Dirichlet Allocation</title><link>https://hyan46.github.io/publication/li-individualized-2022/</link><pubDate>Fri, 01 Jul 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-individualized-2022/</guid><description/></item><item><title>A tensor voting-based surface anomaly classification approach by using 3D point cloud data</title><link>https://hyan46.github.io/publication/du-tensor-voting-jmse-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/du-tensor-voting-jmse-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>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>Convolutional neural network-assisted adaptive sampling for sparse feature detection in image and video data</title><link>https://hyan46.github.io/publication/lahoti-cnn-adaptive-sampling-is-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/lahoti-cnn-adaptive-sampling-is-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>Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent Dirichlet allocation</title><link>https://hyan46.github.io/publication/li-individualized-dmkd-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-individualized-dmkd-2022/</guid><description/></item><item><title>Multi-task learning with latent variation decomposition for multivariate responses in a manufacturing network</title><link>https://hyan46.github.io/publication/li-multi-task-latent-tase-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/li-multi-task-latent-tase-2022/</guid><description/></item><item><title>Profile decomposition based hybrid transfer learning for cold-start data anomaly 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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>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>Deep Multistage Multi-Task Learning for Quality Prediction and Diagnostics of Multistage Manufacturing Systems</title><link>https://hyan46.github.io/publication/haoyan-deep-2021/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/haoyan-deep-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>Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders</title><link>https://hyan46.github.io/publication/sergin-2021-toward/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/sergin-2021-toward/</guid><description/></item><item><title>AKM2D: An Adaptive Framework for Online Sensing and Anomaly 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aircraft</title><link>https://hyan46.github.io/publication/gu-multiport-electrification-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/gu-multiport-electrification-2020/</guid><description/></item><item><title>Anatomically-Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection</title><link>https://hyan46.github.io/publication/zheng-anatomicallyconstrained-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/zheng-anatomicallyconstrained-2020/</guid><description/></item><item><title>Comments on— On Active Learning Methods for Manifold Data</title><link>https://hyan46.github.io/publication/reisigahrooei-comments-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://hyan46.github.io/publication/reisigahrooei-comments-2020/</guid><description/></item><item><title>Dynamic Multivariate Functional Data Modeling via Sparse Subspace 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