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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data
Biehler, M., Yan, H. & Shi, J., Jan 1 2024, In: IEEE Transactions on Automation Science and Engineering. 21, 1, p. 402-415 14 p.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Image-based novel fault detection with deep learning classifiers using hierarchical labels
Sergin, N. D., Huang, J., Chang, T. S. & Yan, H., 2024, In: IISE Transactions. 56, 10, p. 1112-1130 19 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Leveraging Pretrained Transformers for Efficient Segmentation and Lesion Detection in Cone-Beam Computed Tomography Scans
Chen, R. Q., Lee, Y., Yan, H., Mupparapu, M., Lure, F., Li, J. & Setzer, F. C., Oct 2024, In: Journal of Endodontics. 50, 10, p. 1505-1514.e1Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Power generation forecasting for solar plants based on Dynamic Bayesian networks by fusing multi-source information
Zhang, Q., Yan, H. & Liu, Y., Sep 2024, In: Renewable and Sustainable Energy Reviews. 202, 114691.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Sparse Decomposition Methods for Spatio-Temporal Anomaly Detection
Yan, H., Li, Z., Zhao, X. & Hu, J., 2024, Springer Optimization and Its Applications. Springer, p. 185-206 22 p. (Springer Optimization and Its Applications; vol. 211).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Bayesian Optimization for Automatic Reactor Design Optimization
10/1/23 → 9/30/26
Project: Research project
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Collaborative Research: Multi-Agent Adaptive Data Collection for Automated Post-Disaster Rapid Damage Assessment
Yan, H. (PI)
National Science Foundation (NSF)
9/1/23 → 8/31/26
Project: Research project
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AIDen: An AI-empowered detection and diagnosis system for jaw lesions using CBCT
Yan, H. (PI)
HHS: National Institutes of Health (NIH)
9/1/22 → 8/31/24
Project: Research project
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Novel threat detection methodology to detect HIV outbreaks in Washington - Res2
Yan, H. (PI)
HHS: National Institutes of Health (NIH)
8/12/22 → 7/31/24
Project: Research project
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Knowledge-guided Automation for Integrity Management of Aging Pipelines (KAI-MAP) for Hydrogen Transport
DOT: Pipeline Hazardous Materials Safety Administration (PHMSA)
9/30/21 → 9/30/24
Project: Research project
Datasets
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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
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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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Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Zhang, C. (Creator), Yan, H. (Creator), Lee, S. (Creator) & Shi, J. (Creator), figshare Academic Research System, 2021
DOI: 10.6084/m9.figshare.12844311.v2, https://tandf.figshare.com/articles/dataset/Dynamic_Multivariate_Functional_Data_Modeling_via_Sparse_Subspace_Learning/12844311/2
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.v1, https://tandf.figshare.com/articles/dataset/A_Bayesian_Partially_Observable_Online_Change_Detection_Approach_with_Thompson_Sampling/21197987/1
Dataset
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Real-time detection of clustered events in video-imaging data with applications to additive manufacturing
Colosimo, B. M. (Contributor), Grasso, M. (Contributor), Yan, H. (Contributor) & Paynabar, K. (Contributor), figshare Academic Research System, Jan 1 2021
DOI: 10.6084/m9.figshare.13689955.v2, https://doi.org/10.6084%2Fm9.figshare.13689955.v2
Dataset