Research output per year
Research output per year
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Dive into the research topics where Hao Yan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling
Guo, J., Yan, H. & Zhang, C., 2023, In: Technometrics. 65, 2, p. 179-191 13 p.Research output: Contribution to journal › Article › peer-review
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ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data
Biehler, M., Yan, H. & Shi, J., 2023, (Accepted/In press) In: IEEE Transactions on Automation Science and Engineering. p. 1-14 14 p.Research output: Contribution to journal › Article › peer-review
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Convolutional Neural Network-Assisted Adaptive Sampling for Sparse Feature Detection in Image and Video Data
Lahoti, G., Ranjan, C., Chen, J., Yan, H. & Zhang, C., Jan 1 2023, In: IEEE Intelligent Systems. 38, 1, p. 45-57 13 p.Research output: Contribution to journal › Article › peer-review
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Multi-Task Learning With Latent Variation Decomposition for Multivariate Responses in a Manufacturing Network
Li, Y., Yan, H. & Jin, R., Jan 1 2023, In: IEEE Transactions on Automation Science and Engineering. 20, 1, p. 285-295 11 p.Research output: Contribution to journal › Article › peer-review
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Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
Huang, J., Pang, Y., Liu, Y. & Yan, H., Jan 10 2023, In: Knowledge-Based Systems. 259, 110043.Research output: Contribution to journal › Article › peer-review
2 Scopus citations
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AIDen: An AI-empowered detection and diagnosis system for jaw lesions using CBCT
HHS: National Institutes of Health (NIH)
9/1/22 → 8/31/23
Project: Research project
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Novel threat detection methodology to detect HIV outbreaks in Washington - Res2
HHS: National Institutes of Health (NIH)
8/12/22 → 7/31/24
Project: Research project
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Hybridizing Data and Model Driven Approaches for Proactive Production Control
National Science Foundation (NSF)
4/1/20 → 3/31/24
Project: Research project
Datasets
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Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Zhang, C. (Creator), Yan, H. (Creator), Lee, S. (Creator) & Shi, J. (Creator), Taylor & Francis, 2020
DOI: 10.6084/m9.figshare.12844311.v1, https://tandf.figshare.com/articles/dataset/Dynamic_Multivariate_Functional_Data_Modeling_via_Sparse_Subspace_Learning/12844311/1
Dataset
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A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling
Guo, J. (Creator), Yan, H. (Creator) & Zhang, C. (Creator), Taylor & Francis, 2022
DOI: 10.6084/m9.figshare.21197987, https://tandf.figshare.com/articles/dataset/A_Bayesian_Partially_Observable_Online_Change_Detection_Approach_with_Thompson_Sampling/21197987
Dataset
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Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data
Gahrooei, M. R. (Contributor), Yan, H. (Contributor), Shi, J. (Contributor) & Paynabar, K. (Contributor), figshare Academic Research System, Jan 1 2020
DOI: 10.6084/m9.figshare.11440323.v2, https://doi.org/10.6084%2Fm9.figshare.11440323.v2
Dataset
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AKM2D: An adaptive framework for online sensing and anomaly quantification
Shi, J. (Contributor), Yan, H. (Contributor) & Paynabar, K. (Contributor), figshare Academic Research System, Sep 1 2020
DOI: 10.6084/m9.figshare.10687493.v1, https://doi.org/10.6084%2Fm9.figshare.10687493.v1
Dataset
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Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition
Yan, H. (Creator), Paynabar, K. (Creator) & Shi, J. (Contributor), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.5160715, https://tandf.figshare.com/articles/dataset/Real-time_Monitoring_of_High-Dimensional_Functional_Data_Streams_via_Spatio-Temporal_Smooth_Sparse_Decomposition/5160715
Dataset