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Lin-Feng Mei
Lin-Feng Mei
Other namesLinfeng Mei
Ph.D., State Key Laboratory of Internet of Things for Smart Cities,University of Macau
Verified email at um.edu.mo
Title
Cited by
Cited by
Year
Structural optimization in civil engineering: a literature review
L Mei, Q Wang
Buildings 11 (2), 66, 2021
1912021
Transmissibility-based damage detection with hierarchical clustering enhanced by multivariate probabilistic distance accommodating uncertainty and correlation
LF Mei, WJ Yan, KV Yuen, WX Ren, M Beer
Mechanical Systems and Signal Processing 203, 110702, 2023
262023
Structural novelty detection with Laplace asymptotic expansion of the Bhattacharyya distance of transmissibility and Bayesian resampling scheme
LF Mei, WJ Yan, KV Yuen, M Beer
Journal of Sound and vibration 540, 117277, 2022
202022
Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function
LF Mei, WJ Yan, KV Yuen, M Beer
Mechanical Systems and Signal Processing 222, 111767, 2025
162025
Navigating uncertainties in machine learning for structural dynamics: A comprehensive review of probabilistic and non-probabilistic approaches in forward and inverse problems
WJ Yan, LF Mei, J Mo, C Papadimitriou, KV Yuen, M Beer
arXiv preprint arXiv:2408.08629, 2024
82024
Uncertainty-Aware Structural Anomaly Detection under Varying Environmental Conditions Based on Bayesian Nonparametric Density Estimation–Guided Probabilistic Damage Index
LF Mei, WJ Yan, KV Yuen, Q Wang, H Wang
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2025
22025
DPGIIL: Dirichlet process-deep generative model-integrated incremental learning for clustering in transmissibility-based online structural anomaly detection
LF Mei, WJ Yan
Advanced Engineering Informatics 69, 103926, 2026
12026
Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends
WJ Yan, LF Mei, YW Yin, J Mo, C Papadimitriou, KV Yuen, M Beer
arXiv preprint arXiv:2505.22223, 2025
12025
Semi-Supervised Damage Classification with Constrained Bayesian Nonparametric Mixture Models and Transmissibility-Guided Knowledge Transfer
LF Mei, WJ Yan, KV Yuen
Available at SSRN 5170306, 0
1
Semi-supervised structural damage classification with constrained Bayesian nonparametric mixture models and transmissibility-guided knowledge transfer
LF Mei, WJ Yan, KV Yuen
Mechanical Systems and Signal Processing 245, 113806, 2026
2026
Uncertainty-aware structural damage detection based on probabilistic machine learning approaches and transmissibility function
MEI Linfeng
PhD Thesis, University of Macau, 2025
2025
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection
LF Mei, WJ Yan
arXiv preprint arXiv:2412.04781, 2024
2024
Structural novelty detection based on Laplace asymptotic expansion of the Bhattacharyya distance of transmissibility function and Bayesian resampling scheme
LF Mei, WJ Yan, KV Yuen, M Beer
Journal of Sound and vibration, 117277, 2022
2022
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Articles 1–13