Publications

Yunyi Kang, Xinyu Zhao, Hao Yan, Feng Ju (2023). Optimizing Multiple Condition Policy Based on Real-time Degradation Signals via Model-based Reinforcement Learning. IISE Transactions.

Jie Guo, Hao Yan, Chen Zhang (2023). A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling. Technometrics.

Jiayu Huang, Yutian Pang, Yongming Liu, Hao Yan (2023). Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints. Knowledge-Based Systems.

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.

Xinyu Zhao, Jiuyun Hu, Yajun Mei, Hao Yan1 (2022). Adaptive Partially Observed Sequential Change Detection and Isolation. Technometrics.

Jiuyun Hu, Yajun Mei, Sarah Holte, Hao Yan (2022). Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection. Journal of Applied Statistics.

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).

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.

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, 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.

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.

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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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).

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.

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

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Xinyu Zhao, Ashif Iquebal, Huifeng Sun, Hao Yan (2021). Simultaneous Material Microstructure Classification and Discovery via Hidden Markov Modeling of Acoustic Emission Signals. ASME 2020 15th International Manufacturing Science and Engineering Conference.

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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Yujie Zhao, Hao Yan, Sarah Holte, Yajun Mei (2021). Rapid Detection of Hot-Spots via Tensor Decomposition with Applications to Crime Rate Data. Journal of Applied Statistics.

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, Nurretin 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, Nurretin 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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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, Nurettin 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.

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

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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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.

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

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.

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, Nurettin 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.

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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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).

Chen Zhang, Hao Yan, Seungho Lee, Jianjun Shi (2018). Weakly Correlated Profile Monitoring Based on Sparse Multi-Channel Functional Principal Component Analysis. IISE Transactions.

Xiaowei Yue, Hao Yan, Jin Gyu Park, Zhiyong Liang, Jianjun Shi (2018). 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, 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.

Hao Yan (2017). HIGH DIMENSIONAL DATA ANALYSIS FOR ANOMALY DETECTION AND QUALITY IMPROVEMENT A Dissertation Presented to The Academic Faculty.

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.

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.

Hao Yan, Kamran Paynabar, Jianjun Shi (2015). 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, Jianjun Shi Frequency Domain (2014). Frequency Domain Instantaneous Wavenumber Estimation for Damage Quantification in Layered Plate Structures. EWSHM - 7th European Workshop on Structural Health Monitoring.