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Below is the full list of publications with Hao Yan as author or co-author, grouped by year (synced from HaoYan.bib). For grants, awards, and service, see the curriculum vitae PDF alongside my faculty page.

Boyang Xu, Qing Zou, Siqin Yang, Hao Yan (2026). Path-Coupled Bellman Flows for Distributional Reinforcement Learning. Proceedings of the International Conference on Machine Learning (ICML).

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Shengzhe Chen, Hao Yan (2026). D-Convexity: A Unified Differentiable Convex Shape Prior via Quasi-Concavity for Data-driven Image Segmentation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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Rahul Rathnakumar, Xuandong Lu, Jiayu Huang, Hao Yan, Yongming Liu (2026). Bayesian Entropy Neural Networks for physics-aware prediction. Reliability Engineering & System Safety.

Qing Zou, Hao Yan (2025). Probabilistic Kolmogorov-Arnold Networks via sparsified deep Gaussian processes with additive kernels. 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE).

Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan (2025). Personalized tucker decomposition: Modeling commonality and peculiarity on tensor data. Technometrics.

Boyang Xu, Yunyi Kang, Xinyu Zhao, Hao Yan, Feng Ju (2025). Partially observable Markov decision process framework for operating condition optimization using real-time degradation signals. Journal of Quality Technology.

Yeonju Lee, Min Gu Kwak, Rui Qi Chen, Hao Yan, Muralidhar Mupparapu, Fleming Lure, Frank C Setzer, Jing Li (2025). Oral-anatomical knowledge-informed semi-supervised learning for 3D dental CBCT segmentation and lesion detection. IEEE Transactions on Automation Science and Engineering.

Jiayu Huang, Boyang Xu, Yongming Liu, Hao Yan (2025). Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems. 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE).

Somayajulu L. N. Dhulipala, Peter German, Yifeng Che, Zachary M. Prince, Xianjian Xie, Pierre-Clément A. Simon, Vincent M. Labouré, Hao Yan (2025). MOOSE ProbML: Parallelized probabilistic machine learning and uncertainty quantification for computational energy applications. Journal of Computational Science.

Nuretin Dorukhan Sergin, Jiuyun Hu, Ziyue Li, Chen Zhang, Fugee Tsung, Hao Yan (2025). Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling. INFORMS Journal on Data Science.

Xinyu Zhao, Hao Yan, Yongming Liu (2025). Hierarchical Multilabel Classification for Fine-Level Event Extraction from Aviation Accident Reports. INFORMS Journal on Data Science.

Naichen Shi, Hao Yan, Shenghan Guo, Raed Al Kontar (2025). Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration. IEEE Transactions on Automation Science and Engineering.

Kangan Chen, Xianjian Xie, Peter German, Hao Yan, Andi Wang (2025). Bayesian Optimization for Reactor Design Optimization. Transactions of the American Nuclear Society.

Mehrdad Moradi, Shengzhe Chen, Hao Yan, Kamran Paynabar (2025). A Single Image Is All You Need— Zero-Shot Anomaly Localization Without Training Data. arXiv preprint arXiv:2509.18354.

Jiayu Huang, Nazbanoo Farpour, Bingjian J Yang, Muralidhar Mupparapu, Fleming Lure, Jing Li, Hao Yan, Frank C Setzer (2024). Uncertainty-based active learning by bayesian U-Net for multi-label cone-beam CT segmentation. Journal of Endodontics.

Jie Guo, Hao Yan, Chen Zhang (2024). Thompson sampling-based partially observable online change detection for exponential families. INFORMS Journal on Data Science.

Hao Yan, Ziyue Li, Xinyu Zhao, Jiuyun Hu (2024). Sparse decomposition methods for spatio-temporal anomaly detection. Multimodal and Tensor Data Analytics for Industrial Systems Improvement.

Qiongfang Zhang, Hao Yan, Yongming Liu (2024). Power generation forecasting for solar plants based on Dynamic Bayesian networks by fusing multi-source information. Renewable and Sustainable Energy Reviews.

Yunyi Kang, Xinyu Zhao, Hao Yan, Feng Ju (2024). Optimizing Multiple Condition Policy Based on Real-time Degradation Signals via Model-based Reinforcement Learning. IISE Transactions.

Rui Qi Chen, Yeonju Lee, Hao Yan, Muralidhar Mupparapu, Fleming Lure, Jing Li, Frank C Setzer (2024). Leveraging pretrained transformers for efficient segmentation and lesion detection in cone-beam computed tomography scans. Journal of Endodontics.

Nuretin Dorukhan Sergin, Jiayu Huang, Tzyy-Shuh Chang, Hao Yan (2024). Image-based novel fault detection with deep learning classifiers using hierarchical labels. IISE Transactions.

Ziyue Li, Hao Yan, Chen Zhang, Wolfgang Ketter, Fugee Tsung (2023). Tensor dirichlet process multinomial mixture model with graphs for passenger trajectory clustering. Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery.

Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan (2023). Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints. Knowledge-Based Systems.

Ziyue Li, Hao Yan, Chen Zhang, Andi Wang, Wolfgang Ketter, Fugee Tsung (2023). Graph-aware Tensor Topic Models for Individualized Passenger Travel Pattern Clustering. IISE Annual Conference and Expo.

Michael Biehler, Hao Yan, Jianjun Shi (2023). ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data. IEEE Transactions on Automation Science and Engineering.

Michael Biehler, Hao Yan, Jianjun Shi (2023). ANTLER: Bayesian nonlinear tensor learning and modeler for unstructured, varying-size point cloud data. IEEE Transactions on Automation Science and Engineering.

Jiuyun Hu, Yajun Mei, Sarah Holte, Hao Yan (2023). Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection. Journal of Applied Statistics.

Jie Guo, Hao Yan, Chen Zhang (2023). A Bayesian partially observable online change detection approach with Thompson sampling. Technometrics.

Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung (2022). Individualized Passenger Travel Pattern Multi-Clustering Based on Graph Regularized Tensor Latent Dirichlet Allocation. Data Mining and Knowledge Discovery.

Yujie Zhao, Hao Yan, Sarah Holte, Yajun Mei (2022). Rapid detection of hot-spots via tensor decomposition with applications to crime rate data. Journal of applied statistics.

Ziyue Li, Hao Yan, Fugee Tsung, Ke Zhang (2022). Profile decomposition based hybrid transfer learning for cold-start data anomaly detection. ACM Transactions on Knowledge Discovery from Data (TKDD).

Yifu Li, Hao Yan, Ran Jin (2022). Multi-task learning with latent variation decomposition for multivariate responses in a manufacturing network. IEEE Transactions on Automation Science and Engineering.

Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung (2022). Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent Dirichlet allocation. Data Mining and Knowledge Discovery.

Xinyu Zhao, Hao Yan, Yongming Liu (2022). Event Extraction for aviation accident reports through attention-based multi-label classification. AIAA AVIATION 2022 Forum.

Xinyu Zhao, Hao Yan, Zhiyong Hu, Dongping Du (2022). Deep spatio-temporal sparse decomposition for trend prediction and anomaly detection in cardiac electrical conduction. IISE Transactions on Healthcare Systems Engineering.

Geet Lahoti, Chitta Ranjan, Jialei Chen, Hao Yan, Chuck Zhang (2022). Convolutional neural network-assisted adaptive sampling for sparse feature detection in image and video data. IEEE intelligent systems.

Yutian Pang, Xinyu Zhao, Jueming Hu, Hao Yan, Yongming Liu (2022). Bayesian spatio-temporal graph transformer network (b-star) for multi-aircraft trajectory prediction. Knowledge-Based Systems.

Botao Wang, Fugee Tsung, Hao Yan (2022). Attention-based Representation Learning for Time Series with Principal and Residual Space Monitoring. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).

Xinyu Zhao, Jiuyun Hu, Yajun Mei, Hao Yan1 (2022). Adaptive partially observed sequential change detection and isolation. Technometrics.

Juan Du, Hao Yan, Tzyy-Shuh Chang, Jianjun Shi (2022). A tensor voting-based surface anomaly classification approach by using 3D point cloud data. Journal of Manufacturing Science and Engineering.

Frank C. Setzer, Katherine J. Shi, Zhiyang Zhang, Hao Yan, Hyunsoo Yoon, Mel Mupparapu, Jing Li (2021). Artificial Intelligence for the Computer-Aided Detection of Periapical Lesions in Cone-Beam Computed Tomographic Images. Journal of Endodontics.

Jiayu Huang, Hao Yan, Jing Li, H. Milton Stewart, Frank Setzer (2021). Combining Anatomical Constraints and Deep Learning for 3-D CBCT Dental Image Multi-Label Segmentation. 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Nuretin Dorukhan Sergin, Hao Yan (2021). Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders. Journal of Quality Technology.

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Hao Yan, Marco Grasso, Kamran Paynabar, Bianca Maria Colosimo (2021). Real-Time Detection of Clustered Events in Video-Imaging Data with Applications to Additive Manufacturing. IISE Transactions.

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Geet Lahoti, Jialei Chen, Xiaowei Yue, Hao Yan, Chitta Ranjan, Zhen Qian, Chuck Zhang, Ben Wang (2021). Image Decomposition-Based Sparse Extreme Pixel-Level Feature Detection Model with Application to Medical Images. IISE Transactions on Healthcare Systems Engineering.

Xinyu Zhao, Hao Yan, Yongming Liu (2021). Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report. Proceedings 37th IEEE International Conference on Data Engineering.

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Jiayu Huang, Nuretin Sergin, Akshay Dua, Erfan Bank Tavakoli, Hao Yan, Fengbo Ren, Feng Ju (2021). Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection. ASME 2020 15th International Manufacturing Science and Engineering Conference.

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Hao Yan, Nuretin D. Sergin, William A. Brenneman, Stephen J. Lange, Shan Ba (2021). Deep Multistage Multi-Task Learning for Quality Prediction and Diagnostics of Multistage Manufacturing Systems. Journal of Quality Technology.

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Yutian Pang, Xinyu Zhao, Hao Yan, Yongming Liu (2021). Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach. Transportation Research Part C: Emerging Technologies.

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Teng Wu, Runmin Wang, Hao Yan, Xiaofeng Shao (2021). Adaptive Change Point Monitoring for High-Dimensional Data. Statistica Sinica.

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Ziyue Li, Nuretin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung (2020). Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction. Thirty-Fourth AAAI Conference on Artificial Intelligence.

Hao Yan, Kamran Paynabar, Jianjun Shi (2020). AKM2D: An Adaptive Framework for Online Sensing and Anomaly Quantification. IISE Transactions.

Xiaolei Fang, Hao Yan, Nagi Gebraeel, Kamran Paynabar (2020). Multi-Sensor Prognostics Modeling for Applications with Highly Incomplete Signals. IISE Transactions.

Frank C. Setzer, Katherine J. Shi, Zhiyang Zhang, Hao Yan, Hyunsoo Yoon, Mel Mupparapu, Jing Li (2020). Artificial Intelligence for the Computer-aided Detection of Periapical Lesions in Cone-beam Computed Tomographic Images. Journal of Endodontics.

Xinyu Zhao, Ashif Iquebal, Huifeng Sun, Hao Yan (2020). Simultaneous material microstructure classification and discovery via hidden Markov modeling of acoustic emission signals. International Manufacturing Science and Engineering Conference.

Yunyi Kang, Hao Yan, Feng Ju (2020). Performance Evaluation of Production Systems Using Real-Time Machine Degradation Signals. IEEE Transactions on Automation Science and Engineering.

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Jie Guo, Hao Yan, Chen Zhang, Steven Hoi (2020). Partially observable online change detection via smooth-sparse decomposition. arXiv preprint arXiv:2009.10645.

Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar, Jianjun Shi (2020). Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data. Technometrics.

Ziyue Li, Hao Yan, Chen Zhang, Fugee Tsung (2020). Long-short term spatiotemporal tensor prediction for passenger flow profile. IEEE Robotics and Automation Letters.

Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi (2020). Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning. Technometrics.

Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar (2020). Comments on— On Active Learning Methods for Manifold Data. Test.

Zhiyang Zheng, Hao Yan, Frank Setzer, Katherine Shi, Mel Mupparapu, Jing Li (2020). Anatomically-Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection. IEEE Transactions on Automation Science and Engineering.

Chunyang Gu, Hao Yan, Jiajun Yang, Giacomo Sala, Daniele De Gaetano, Xuchen Wang, Alessandro Galassini, Michele Degano, Xin Zhang, Giampaolo Buticchi (2020). A multiport power conversion system for the more electric aircraft. IEEE Transactions on Transportation Electrification.

Xinyu Zhao, Hao Yan, Jing Li, Yutian Pang, Yongming Liu (2019). Spatio-Temporal Anomaly Detection, Diagnostics, and Prediction of the Air-Traffic Trajectory Deviation Using the Convective Weather. Annual Conference of the PHM Society.

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Hao Yan, Xinyu Zhao, Zhiyong Hu, Dongping Du (2019). Physics-Based Deep Spatio-Temporal Metamodeling for Cardiac Electrical Conduction Simulation. IEEE International Conference on Automation Science and Engineering.

Hao Yan, Huai Ming Yeh, Nuretin Sergin (2019). Image-Based Process Monitoring via Adversarial Autoencoder with Applications to Rolling Defect Detection. IEEE International Conference on Automation Science and Engineering.

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Hao Yan, Kamran Paynabar, Massimo Pacella (2019). Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization. Technometrics.

Xinyu Zhao, Yunyi Kang, Hao Yan, Feng Ju (2019). 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. Annual Conference of the PHM Society.

Yujie Zhao, Hao Yan, Sarah E. Holte, Roxanne P. Kerani, Yajun Mei (2019). Rapid Detection of Hot-Spot by Tensor Decomposition with Application to Weekly Gonorrhea Data. The XIIIth International Workshop on Intelligent Statistical Quality Control,.

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Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi (2018). Weakly correlated profile monitoring based on sparse multi-channel functional principal component analysis. IISE Transactions.

Yunyi Kang, Hao Yan, Feng Ju (2018). Real-time production performance analysis using machine degradation signals— A two-machine case. 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Hao Yan, Kamran Paynabar, Jianjun Shi (2018). Real-time monitoring of high-dimensional functional data streams via spatio-temporal smooth sparse decomposition. Technometrics.

Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi (2018). Multiple profiles sensor-based monitoring and anomaly detection. Journal of Quality Technology.

Massimo Pacella, Hao Yan, Kamran Paynabar, Others (2017). Point Cloud Data Analysis for Process Modeling and Optimization. INFORMS Annual Meeting 2017 Houston.

Hao Yan (2017). High dimensional data analysis for anomaly detection and quality improvement. Ph. D. dissertation, Georgia Inst. Technol., Atlanta, GA, USA.

Xiaowei Yue, Kan Wang, Hao Yan, Jin Gyu Park, Zhiyong Liang, Chuck Zhang, Ben Wang, Jianjun Shi (2017). Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper. IEEE Transactions on Automation Science and Engineering.

Hao Yan, Kamran Paynabar, Jianjun Shi (2017). Anomaly detection in images with smooth background via smooth-sparse decomposition. Technometrics.

Xiaowei Yue, Hao Yan, Jin Gyu Park, Zhiyong Liang, Jianjun Shi (2017). A wavelet-based penalized mixed-effects decomposition for multichannel profile detection of in-line Raman spectroscopy. IEEE Transactions on Automation Science and Engineering.

Hao Yan, Kaibo Liu, Xi Zhang, Jianjun Shi (2016). Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions. IEEE Transactions on Reliability.

Olivier Mesnil, Hao Yan, Massimo Ruzzene, Kamran Paynabar, Jianjun Shi (2016). Fast wavenumber measurement for accurate and automatic location and quantification of defect in composite. Structural Health Monitoring.

O Mesnil, H Yan, M Ruzzene, K Paynabar, J Shi (2015). Guided wavefield reconstruction from sparse measurements using compressed sensing. Structural Health Monitoring 2015.

Hao Yan, Kamran Paynabar, Jianjun Shi (2014). Image-based process monitoring using low-rank tensor decomposition. IEEE Transactions on Automation Science and Engineering.

Olivier Mesnil, Hao Yan, Massimo Ruzzene, Kamran Paynabar, Jianjun Shi (2014). Frequency Domain Instantaneous Wavenumber Estimation for Damage Quantification in Layered Plate Structures. EWSHM - 7th European Workshop on Structural Health Monitoring.

Fangting Li, Mingyang Hu, Bo Zhao, Hao Yan, Bin Wu, Qi Ouyang (2013). A globally attractive cycle driven by sequential bifurcations containing ghost effects in a 3-node yeast cell cycle model. arXiv preprint arXiv:1312.5204.