publications | Leslie Yu Chen

2025

Imprecise uncertainty management with uncertain numbers to facilitate trustworthy computations

Yu Chen, and Scott Ferson

In SciPy Proceedings, 2025

Bib HTML

@inproceedings{chen2025scipyproceed,
  title = {Imprecise uncertainty management with uncertain numbers to facilitate trustworthy computations},
  booktitle = {SciPy Proceedings},
  year = {2025},
  author = {Chen, Yu and Ferson, Scott},
  doi = {10.25080/ahrt5264}
}

An Integrated Uncertainty Quantification and Optimization for solving the 2025 NASA-DNV Challenge

Roberto Rocchetta, Lorenzo Nespoli, Vasco Medici, Yu Chen, Marco Angelis, Dawid Ochnio, Edoardo Patelli, and 1 more author

In Proceedings of the 35th European Safety and Reliability & the 33rd Society for Risk Analysis Europe Conference, 2025

Bib HTML

@inproceedings{chen2025nasachallenge,
  title = {An Integrated Uncertainty Quantification and Optimization for solving the 2025 NASA-DNV Challenge},
  booktitle = {Proceedings of the 35th European Safety and Reliability & the 33rd Society for Risk Analysis Europe Conference},
  year = {2025},
  author = {Rocchetta, Roberto and Nespoli, Lorenzo and Medici, Vasco and Chen, Yu and de Angelis, Marco and Ochnio, Dawid and Patelli, Edoardo and Smith, Ewan.},
  address = {Stavanger, Norway},
  publisher = {Research Publishing, Singapore},
  doi = {10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P3804-cd},
}

Verification of Bayesian Physics-Informed Neural Networks

Zhen Yang, Yu Chen, and Edoardo Patelli

In Proceedings of the 35th European Safety and Reliability & the 33rd Society for Risk Analysis Europe Conference, 2025

Bib HTML

@inproceedings{zhen2025esrel,
  title = {Verification of Bayesian Physics-Informed Neural Networks},
  booktitle = {Proceedings of the 35th European Safety and Reliability & the 33rd Society for Risk Analysis Europe Conference},
  year = {2025},
  author = {Yang, Zhen and Chen, Yu and Patelli, Edoardo},
  address = {Stavanger, Norway},
  publisher = {Research Publishing, Singapore},
  doi = {doi: 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P5695-cd},
}

2024

Towards robust prediction of material properties for nuclear reactor design under scarce data – a study in creep rupture property

Yu Chen, Edoardo Patelli, Zhen Yang, and Adolphus Lye

In 10th International Workshop on Reliable Engineering Computing, 2024

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@inproceedings{yuREC2024,
  title = {Towards robust prediction of material properties for nuclear reactor design under scarce data -- a study in creep rupture property},
  booktitle = {10th International Workshop on Reliable Engineering Computing},
  year = {2024},
  author = {Chen, Yu and Patelli, Edoardo and Yang, Zhen and Lye, Adolphus},
  address = {Beijing, China},
  doi = {https://doi.org/10.48550/arXiv.2405.17862},
}

Towards intelligent methodologies for uncertainty quantification in civil nuclear energy safety

Yu Chen, and Edoardo Patelli

In Probabilistic Safety Assessment and Management & Asian Symposium on Risk Assessment and Management, 2024

Bib HTML

@inproceedings{yu_2025_17256135,
  title = {Towards intelligent methodologies for uncertainty
                     quantification in civil nuclear energy safety},
  booktitle = {Probabilistic Safety Assessment and Management & Asian Symposium on Risk Assessment and Management},
  year = {2024},
  author = {Chen, Yu and Patelli, Edoardo},
  address = {Sendai, Japan},
  publisher = {Zenodo},
  doi = {10.5281/zenodo.17256135},
}

2023

A Bayesian Augmented-Learning Framework for Spectral Uncertainty Quantification of Incomplete Records of Stochastic Processes

Yu Chen, Edoardo Patelli, Benjamin Edwards, and Michael Beer

Mechanical Systems and Signal Processing, 2023

Bib HTML

@article{chen4405534bayesian,
  title = {A Bayesian Augmented-Learning Framework for Spectral Uncertainty Quantification of Incomplete Records of Stochastic Processes},
  author = {Chen, Yu and Patelli, Edoardo and Edwards, Benjamin and Beer, Michael},
  journal = {Mechanical Systems and Signal Processing},
  doi = {https://doi.org/10.1016/j.ymssp.2023.110573},
  url = {https://authors.elsevier.com/sd/article/S0888-3270(23)00481-8},
  year = {2023},
}

A physics-informed Bayesian framework for characterizing ground motion process in the presence of missing data

Yu Chen, Edoardo Patelli, Benjamin Edwards, and Michael Beer

Earthquake Engineering & Structural Dynamics, 2023

Bib HTML

@article{https://doi.org/10.1002/eqe.3877,
  author = {Chen, Yu and Patelli, Edoardo and Edwards, Benjamin and Beer, Michael},
  title = {A physics-informed Bayesian framework for characterizing ground motion process in the presence of missing data},
  journal = {Earthquake Engineering \& Structural Dynamics},
  volume = {52},
  number = {7},
  pages = {2179-2195},
  keywords = {Bayesian model updating, earthquake ground motion, evolutionary power spectra, missing data, stochastic variational inference, uncertainty quantification},
  doi = {https://doi.org/10.1002/eqe.3877},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/eqe.3877},
  year = {2023},
}

Spectral Density Estimation Of Stochastic Processes Under Missing Data And Uncertainty Quantification With Bayesian Deep Learning

Yu Chen, Edoardo Patelli, Benjamin Edwards, and Michael Beer

In 5th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2023

2022

Uncertainty Quantification Over Spectral Estimation of Stochastic Processes Subject to Gapped Missing Data Using Variational Bayesian Inference

Yu Chen, Edoardo Patelli, Benjamin Edwards, and Michael Beer

In Proceedings of the 8th Intl. Symp. on Reliability Engineering and Risk Management, 2022

Bib HTML PDF

@inproceedings{isrerm2022chen,
  title = {Uncertainty Quantification Over Spectral Estimation of Stochastic Processes Subject to Gapped Missing Data Using Variational Bayesian Inference},
  year = {2022},
  author = {Chen, Yu and Patelli, Edoardo and Edwards, Benjamin and Beer, Michael},
  booktitle = {Proceedings of the 8th Intl. Symp. on Reliability Engineering and Risk Management},
  editor = {Michael Beer, Enrico Zio, Kok-Kwang Phoon and Ayyub, Bilal M.},
  address = {Hanover, Germany},
  publisher = {Research Publishing, Singapore},
  doi = {10.3850/978-981-18-5184-1_MS-06-179-cd},
}

Uncertainty quantification over spectral density estimation for strong motion process with missing data

Yu Chen, Edoardo Patelli, Benjamin Edwards, and Michael Beer

In Proceedings of the 32nd European Safety and Reliability Conference, 2022

Bib HTML PDF

@inproceedings{esrel2022chen,
  title = {Uncertainty quantification over spectral density estimation for strong motion process with missing data},
  author = {Chen, Yu and Patelli, Edoardo and Edwards, Benjamin and Beer, Michael},
  year = {2022},
  booktitle = {Proceedings of the 32nd European Safety and Reliability Conference},
  publisher = {Research Publishing, Singapore},
  address = {Ireland},
  editor = {Leva, Maria Chiara and Patelli, Edoardo and Podofillini, Luca and Wilson, Simon},
  doi = {10.3850/978-981-18-5183-4_S02-04-389-cd},
}

2021

Concurrent Seismic Events Identification Using Deep Learning

Yu Chen, M.H Yen, R. Zaccarelli, D. Bindi, Benjamin Edwards, and Edoardo Patelli

In Proceedings of the 17th World Conference on Earthquake Engineering, 2021

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2020

New collocation method for stochastic response surface reliability analyses

Peng Zeng, Tianbin Li, Yu Chen, Rafael Jimenez, Xianda Feng, and Salvador Senent

Engineering with Computers, 2020

Bib HTML

@article{zeng2020new,
  title = {New collocation method for stochastic response surface reliability analyses},
  author = {Zeng, Peng and Li, Tianbin and Chen, Yu and Jimenez, Rafael and Feng, Xianda and Senent, Salvador},
  journal = {Engineering with Computers},
  volume = {36},
  pages = {1751--1762},
  year = {2020},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/s00366-019-00793-2},
}

Dynamic and probabilistic multi-class prediction of tunnel squeezing intensity

Yu Chen, Tianbin Li, Peng Zeng, Junjie Ma, Edoardo Patelli, and Ben Edwards

Rock Mechanics and Rock Engineering, 2020

Bib HTML

@article{chen2020dynamic,
  title = {Dynamic and probabilistic multi-class prediction of tunnel squeezing intensity},
  author = {Chen, Yu and Li, Tianbin and Zeng, Peng and Ma, Junjie and Patelli, Edoardo and Edwards, Ben},
  journal = {Rock Mechanics and Rock Engineering},
  volume = {53},
  pages = {3521--3542},
  year = {2020},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/s00603-020-02138-8},
  url = {https://link.springer.com/article/10.1007/s00603-020-02138-8},
}

Decision Making for Optimal Primary-Support Selection to Minimise TunnelSqueezing Risk

Yu Chen, Edoardo Patelli, Peng Zeng, Benjamin Edwards, Tianbin Li, and Michael Beer

In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, 2020

Bib HTML PDF

@inproceedings{esrel2020chen,
  title = {Decision Making for Optimal Primary-Support Selection to Minimise TunnelSqueezing Risk},
  author = {Chen, Yu and Patelli, Edoardo and Zeng, Peng and Edwards, Benjamin and Li, Tianbin and Beer, Michael},
  year = {2020},
  booktitle = {Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference},
  publisher = {Research Publishing, Singapore},
  address = {Italy},
  editor = {Piero Baraldi, Francesco Di Maio and Zio, Enrico},
  doi = {10.3850/978-981-14-8593-0_4170-cd},
}

2018

Extension of quasi-Newton approximation-based SORM for series system reliability analysis of geotechnical problems

Peng Zeng, Tianbin Li, Rafael Jimenez, Xianda Feng, and Yu Chen

Engineering with Computers, 2018

Bib HTML

@article{zeng2018extension,
  title = {Extension of quasi-Newton approximation-based SORM for series system reliability analysis of geotechnical problems},
  author = {Zeng, Peng and Li, Tianbin and Jimenez, Rafael and Feng, Xianda and Chen, Yu},
  journal = {Engineering with Computers},
  volume = {34},
  pages = {215--224},
  year = {2018},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/s00366-017-0536-8},
}