Wang-Ji Yan

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Amortized likelihood-free stochastic model updating via conditional diffusion model for structural health monitoring.
Reliab. Eng. Syst. Saf.
Jice Zeng, Hui Chen, Wang-Ji Yan, Zhao Zhao, Qiaoyun Wu
2026 J jnl
DPGIIL: Dirichlet process-deep generative model-integrated incremental learning for clustering in transmissibility-based online structural anomaly detection.
Adv. Eng. Informatics
Lin-Feng Mei, Wang-Ji Yan
2026 J jnl
Variational Bayesian data assimilation with time-varying multi-physics-informed neural network for solving dimension-reduced probability density evolution equation.
Reliab. Eng. Syst. Saf.
Teng-Teng Hao, Wang-Ji Yan, Jian-Bing Chen, Ka-Veng Yuen
2026 J jnl
Variational inference for hierarchical Bayesian learning framework for model updating with non-stationary prediction errors.
Reliab. Eng. Syst. Saf.
Menghao Ping, Wang-Ji Yan, Costas Papadimitriou
2025 J jnl
Explainable neural-networked variational inference: A new and fast paradigm with automatic differentiation for high-dimensional Bayesian inverse problems.
Reliab. Eng. Syst. Saf.
Jiang Mo, Wang-Ji Yan
2025 J jnl
Learning non-stationary model of prediction errors with hierarchical Bayesian modeling.
Reliab. Eng. Syst. Saf.
Menghao Ping, Wang-Ji Yan, Xinyu Jia, Costas Papadimitriou, Ka-Veng Yuen
2025 J jnl
Post-earthquake residual track irregularities prediction using wavelet-packet-transformation-powered domain adaptive neural network.
Eng. Appl. Artif. Intell.
Yuntai Zhang, Wang-Ji Yan, Li-Zhong Jiang, Ka-Veng Yuen, Wangbao Zhou
2024 J jnl
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection.
CoRR
Lin-Feng Mei, Wang-Ji Yan
2024 J jnl
Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems.
CoRR
Wang-Ji Yan, Lin-Feng Mei, Jiang Mo, Costas Papadimitriou, Ka-Veng Yuen, Michael Beer
2024 J jnl
Two-stage nonparametric framework for missing data imputation, uncertainty quantification, and incorporation in system identification.
Comput. Aided Civ. Infrastructure Eng.
Wen-Jing Zhang, Ka-Veng Yuen, Wang-Ji Yan
2023 J jnl
Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation.
Adv. Eng. Informatics
Ka-Veng Yuen, Wen-Jing Zhang, Wang-Ji Yan
2023 J jnl
Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme.
Sensors
Wen Wu, Sergio Cantero-Chinchilla, Wang-Ji Yan, Manuel Chiachío, Rasa Remenyte-Prescott, Dimitrios Chronopoulos
2021 J jnl
A Model-Driven Scheme to Compensate the Strain-Based Non-Intrusive Dynamic Pressure Measurement for Hydraulic Pipe.
IEEE Trans. Instrum. Meas.
Zechao Wang, Ming-Yao Liu, Wang-Ji Yan, Han Song, Zude Zhou, Ka-Veng Yuen, Qin Wei, Shing Shin Cheng
2012 J jnl
Operational Modal Parameter Identification from Power Spectrum Density Transmissibility.
Comput. Aided Civ. Infrastructure Eng.
Wang-Ji Yan, Wei-Xin Ren