Wang‐Ji Yan

University of Macau — MO

Engineering · Physical Sciences

21h-index2.3kcitations85works4.22yr avg
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Research Topics

Structural Health Monitoring Techniques(60), Probabilistic and Robust Engineering Design(24), Ultrasonics and Acoustic Wave Propagation(20), Infrastructure Maintenance and Monitoring(13), Structural Engineering and Vibration Analysis(10)

Publications85 total

Variational Bayesian data assimilation with time-varying multi-physics-informed neural network for solving dimension-reduced probability density evolution equation
Reliability Engineering & System Safety·2026
Variational inference for hierarchical Bayesian learning framework for model updating with non-stationary prediction errors
Reliability Engineering & System Safety·2025
Amortized likelihood-free stochastic model updating via conditional diffusion model for structural health monitoring
Reliability Engineering & System Safety·2025· 1 cited
DPGIIL: Dirichlet process-deep generative model-integrated incremental learning for clustering in transmissibility-based online structural anomaly detection
Advanced Engineering Informatics·2025· 1 cited
Bayesian sequential multi-measurement updating for interference-resistant bridge influence line identification
Measurement·2025
Analytical hierarchical Bayesian modeling framework for model updating and uncertainty propagation utilizing frequency response function data
Computer Methods in Applied Mechanics and Engineering·2025· 4 cited
Post-earthquake residual track irregularities prediction using wavelet-packet-transformation-powered domain adaptive neural network
Engineering Applications of Artificial Intelligence·2025· 1 cited
Enhancing high-dimensional probabilistic model updating: A generic generative model-inspired framework with GAN-embedded implementation
Computer Methods in Applied Mechanics and Engineering·2025· 1 cited
Explainable neural-networked variational inference: A new and fast paradigm with automatic differentiation for high-dimensional Bayesian inverse problems
Reliability Engineering & System Safety·2025· 8 cited
Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends
arXiv (Cornell University)·2025Open Access
DR-PDE-Net: A time-varying inverse multi-physics-informed neural network paradigm for solving dimension-reduced probability density evolution equation in noisy data regimes
Computer Methods in Applied Mechanics and Engineering·2025· 4 cited
High-Dimensional Bayesian inference for model updating with neural likelihood approximator powered by dimensionality-reducing flow-based generative model
Mechanical Systems and Signal Processing·2025· 5 citedOpen Access
Learning non-stationary model of prediction errors with hierarchical Bayesian modeling
Reliability Engineering & System Safety·2025· 10 cited
Uncertainty-Aware Structural Anomaly Detection under Varying Environmental Conditions Based on Bayesian Nonparametric Density Estimation–Guided Probabilistic Damage Index
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering·2025· 1 cited
Bayesian generative kernel Gaussian process regression
Mechanical Systems and Signal Processing·2025· 12 cited
Multimodal fusion hybrid neural network approach for multi-class damage classification in high-speed rail track-bridge systems with multi-parameter
Engineering Structures·2025· 12 cited
Semi-Supervised Damage Classification with Constrained Bayesian Nonparametric Mixture Models and Transmissibility-Guided Knowledge Transfer
SSRN Electronic Journal·2025· 1 citedOpen Access
Analytical Hierarchical Bayesian Modeling Framework for Model Updating and Uncertainty Propagation Utilizing Frequency Response Function Data
SSRN Electronic Journal·2025Open Access
Bayesian Approach for Damping Identification of Stay Cables Under Vortex‐Induced Vibrations
Structural Control and Health Monitoring·2025· 2 citedOpen Access
Analytical Local Sensitivity Analysis of Frequency Response Function and Transmissibility Function with a View Towards Bayesian Damage Detection
SSRN Electronic Journal·2025Open Access
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Frequent Co-authors

Ka‐Veng Yuen(20), Wei‐Xin Ren(8), Lambros S. Katafygiotis(5), Costas Papadimitriou(5), Wei‐Xin Ren(4), Xinyu Jia(4), Jiang Mo(4), Zechao Wang(3), Wangbao Zhou(3), Teng-Teng Hao(3), Michael Beer(3), Menghao Ping(3), Zhiwei Chen(3), Zude Zhou(2), Shing Shin Cheng(2), Lizhong Jiang(2), Xiaoan Yan(2), Tianli Huang(2), Xu Han(2), Chao Jiang(2)