Hao Yan

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45 Article
15 Conference contribution
2 Paper
1 Chapter
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- 1 Comment/debate
- 1 Conference article

Bayesian Entropy Neural Networks for physics-aware prediction
Rathnakumar, R., Lu, X., Huang, J., Yan, H. & Liu, Y., Feb 2026, In: Reliability Engineering and System Safety. 266, 111575.
Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Scopus citations
Bayesian Optimization for Reactor Design Optimization
Chen, K., Xie, X., German, P., Yan, H. & Wang, A., 2025, In: Transactions of the American Nuclear Society. 132, 1, p. 950-953 4 p.
Research output: Contribution to journal › Conference article › peer-review
Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration
Shi, N., Yan, H., Guo, S. & Al Kontar, R., 2025, In: IEEE Transactions on Automation Science and Engineering. 22, p. 18217-18230 14 p.
Research output: Contribution to journal › Article › peer-review
Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems
Huang, J., Xu, B., Liu, Y. & Yan, H., 2025, 2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025. IEEE Computer Society, p. 345-350 6 p. (IEEE International Conference on Automation Science and Engineering).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection
Lee, Y., Kwak, M. G., Chen, R. Q., Yan, H., Mupparapu, M., Lure, F., Setzer, F. C. & Li, J., 2025, In: IEEE Transactions on Automation Science and Engineering. 22, p. 11205-11218 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Link opens in a new tab Scopus citations

2 Active
8 Finished

Bayesian Optimization for Automatic Reactor Design Optimization
Wang, A. (PI) & Yan, H. (CoI)
DOE: Headquarters
10/1/23 → 9/30/26
Project: Research project
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
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
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
Knowledge-guided Automation for Integrity Management of Aging Pipelines (KAI-MAP) for Hydrogen Transport
Yan, H. (CoI) & Liu, Y. (PI)
DOT: Pipeline Hazardous Materials Safety Administration (PHMSA)
9/30/21 → 9/30/24
Project: Research project

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
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
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
Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition
Yan, H. (Creator), Paynabar, K. (Creator) & Shi, J. (Creator), Taylor & Francis, 2017
DOI: 10.6084/m9.figshare.1590018, https://tandf.figshare.com/articles/dataset/Anomaly_Detection_in_Images_with_Smooth_Background_Via_Smooth_Sparse_Decomposition/1590018
Dataset
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

Hao Yan

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Bayesian Entropy Neural Networks for physics-aware prediction

Bayesian Optimization for Reactor Design Optimization

Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration

Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems

Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection

Bayesian Optimization for Automatic Reactor Design Optimization

Collaborative Research: Multi-Agent Adaptive Data Collection for Automated Post-Disaster Rapid Damage Assessment

AIDen: An AI-empowered detection and diagnosis system for jaw lesions using CBCT

Novel threat detection methodology to detect HIV outbreaks in Washington - Res2

Knowledge-guided Automation for Integrity Management of Aging Pipelines (KAI-MAP) for Hydrogen Transport

A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling

Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data

A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling

Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition

Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning

Hao Yan

Fingerprint

Collaborations and top research areas from the last five years

Research output

Projects

Datasets