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Two-stage Bayesian inference for rail model updating and crack detection with ultrasonic guided wave measurements and advanced wave propagation simulation Journal article
Zhan, Jiang Zheng, Yan, Wang Ji, Wu, Wen, Yuen, Ka Veng, Chronopoulos, Dimitrios. Two-stage Bayesian inference for rail model updating and crack detection with ultrasonic guided wave measurements and advanced wave propagation simulation[J]. Journal of Sound and Vibration, 2025, 599.
Authors:  Zhan, Jiang Zheng;  Yan, Wang Ji;  Wu, Wen;  Yuen, Ka Veng;  Chronopoulos, Dimitrios
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.3/4.3 | Submit date：2025/01/22
Model Updating  Crack Identification  Ultrasonic Guided Waves (Ugws)  Bayesian Inference  Rail Structure  
Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel Journal article
Mo, Jiang, Yan, Wang Ji, Yuen, Ka Veng, Beer, Michael. Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel[J]. Computer Methods in Applied Mechanics and Engineering, 2025, 433.
Authors:  Mo, Jiang;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.9/6.7 | Submit date：2025/01/22
Block Coordinate Descent  Correlation Propagation  Derivative-aware Metamodel  Model Updating  Neural Network  Non-probabilistic Uncertainty  
Prevalence of mental disorders and their associations with age at diagnosis and time since diagnosis of nasopharyngeal cancer Journal article
Wang, Wen Xuan, Wu, Yi Shan, Qi, Li Ping, Wu, Anise M.S., Zhu, Ying Ying, Gong, Wei Jie, Guo, Shan Shan, Hua, Yi Jun, Luo, Dong Hua, Chen, Qiu Yan, Xiang, Yan Qun, Zhang, Jin Xin, Mai, Hai Qiang, Li, Ji Bin. Prevalence of mental disorders and their associations with age at diagnosis and time since diagnosis of nasopharyngeal cancer[J]. Frontiers in Public Health, 2024, 12, 1469001.
Authors:  Wang, Wen Xuan;  Wu, Yi Shan;  Qi, Li Ping;  Wu, Anise M.S.;  Zhu, Ying Ying; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.0/3.6 | Submit date：2024/12/26
Nasopharyngeal Carcinoma  Depression  Anxiety  Sleep Disorders  Age At Diagnosis  Time Since Diagnosis  
Scalable Cathodic H2O2 Electrosynthesis using Cobalt-Coordinated Nanocellulose Electrocatalyst Journal article
Qian, Zhiyun, Liu, Di, Liu, Detao, Luo, Yao, Ji, Wenhao, Wang, Yan, Chen, Yonghao, Hu, Rui, Pan, Hui, Wu, Peilin, Duan, Yulong. Scalable Cathodic H2O2 Electrosynthesis using Cobalt-Coordinated Nanocellulose Electrocatalyst[J]. Small, 2024, 20(36), 2403947.
Authors:  Qian, Zhiyun;  Liu, Di;  Liu, Detao;  Luo, Yao;  Ji, Wenhao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:13.0/13.5 | Submit date：2024/08/05
Electrocatalysts  Zif  Gas Diffusion Electrode  Hydrogen Peroxide  Nanocellulose  
Sensitive Properties of Power Spectral Density Transmissibility (PSDT) to Moving Vehicles and Structural States in Bridge Health Monitoring Journal article
Qin Lifeng, Ren Wei-Xin, Yan Wang-Ji. Sensitive Properties of Power Spectral Density Transmissibility (PSDT) to Moving Vehicles and Structural States in Bridge Health Monitoring[J]. Structural Control & Health Monitoring, 2024, 2024, 4695910.
Authors:  Qin Lifeng;  Ren Wei-Xin;  Yan Wang-Ji
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.5 | Submit date：2024/08/30
Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function Journal article
Mei, Ling Feng, Yan, Wang Ji, Yuen, Ka Veng, Beer, Michael. Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function[J]. Mechanical Systems and Signal Processing, 2024, 222, 111767.
Authors:  Mei, Ling Feng;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:7.9/8.0 | Submit date：2024/08/30
Bayesian Nonparametric Model  Damage Detection  Streaming Variational Inference  Truncation-free Full Dirichlet Process Gaussian Mixture Model  
Element-wise parallel deep learning for structural distributed damage diagnosis by leveraging physical properties of long-gauge static strain transmissibility under moving loads Journal article
Liu, Yu Song, Yan, Wang Ji, Yuen, Ka Veng, Zhou, Wan Huan. Element-wise parallel deep learning for structural distributed damage diagnosis by leveraging physical properties of long-gauge static strain transmissibility under moving loads[J]. Mechanical Systems and Signal Processing, 2024, 220, 111680.
Authors:  Liu, Yu Song;  Yan, Wang Ji;  Yuen, Ka Veng;  Zhou, Wan Huan
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:7.9/8.0 | Submit date：2024/08/05
Damage Diagnosis  Long-gauge Strain Sensing  Moving Load  Physical Property-guided Method  Transmissibility Function  
PC-Kriging-powered parallelizing Bayesian updating for stochastic vehicle-track dynamical system with contact force measurements and Gaussian process discrepancy model Journal article
Yan, Wang Ji, Zhan, Jiang Zheng, Yuen, Ka Veng, Ren, Wei Xin, Papadimitriou, Costas. PC-Kriging-powered parallelizing Bayesian updating for stochastic vehicle-track dynamical system with contact force measurements and Gaussian process discrepancy model[J]. Engineering Structures, 2024, 318, 118578.
Authors:  Yan, Wang Ji;  Zhan, Jiang Zheng;  Yuen, Ka Veng;  Ren, Wei Xin;  Papadimitriou, Costas
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:5.6/5.8 | Submit date：2024/08/30
Bayesian Inference  High-speed Railway  Metamodel  Model Updating  Vehicle-track Coupling Dynamical System  
Multi-output multi-physics-informed neural network for learning dimension-reduced probability density evolution equation with unknown spatio-temporal-dependent coefficients Journal article
Hao, Teng Teng, Yan, Wang Ji, Chen, Jian Bing, Sun, Ting Ting, Yuen, Ka Veng. Multi-output multi-physics-informed neural network for learning dimension-reduced probability density evolution equation with unknown spatio-temporal-dependent coefficients[J]. Mechanical Systems and Signal Processing, 2024, 220, 111683.
Authors:  Hao, Teng Teng;  Yan, Wang Ji;  Chen, Jian Bing;  Sun, Ting Ting;  Yuen, Ka Veng
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:7.9/8.0 | Submit date：2024/08/05
Dimension-reduced Probability Density Evolution Equation  Multi-output Network  Physics Informed Neural Network  Spatio-temporal-dependent Equations  Stochastic Dynamics  
StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems Journal article
Mo, Jiang, Yan, Wang Ji. StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems[J]. Mechanical Systems and Signal Processing, 2024, 220, 111623.
Authors:  Mo, Jiang;  Yan, Wang Ji
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:7.9/8.0 | Submit date：2024/08/05
Deep Learning  Model Updating  Reparameterization Trick  Stochastic Inverse Problems  Structural Health Monitoring