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Variational Bayesian Learning Based Localization and Channel Reconstruction in RIS-aided Systems Journal article
Li, Yunfei, Luo, Yiting, Wu, Xianda, Shi, Zheng, Ma, Shaodan, Yang, Guanghua. Variational Bayesian Learning Based Localization and Channel Reconstruction in RIS-aided Systems[J]. IEEE Transactions on Wireless Communications, 2024, 23(9), 11309-11324.
Authors:  Li, Yunfei;  Luo, Yiting;  Wu, Xianda;  Shi, Zheng;  Ma, Shaodan; et al.
Favorite | TC[WOS]:10 TC[Scopus]:10  IF:8.9/8.6 | Submit date:2024/05/16
Bcrb  Channel Estimation  Localization  Reconfigurable Intelligent Surface  Variational Bayesian  
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.
Authors:  Mei, Ling Feng;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:1 TC[Scopus]:1  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  
An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme Journal article
Jia, Xinyu, Yan, Wang Ji, Papadimitriou, Costas, Yuen, Ka Veng. An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme[J]. Mechanical Systems and Signal Processing, 2023, 189, 110060.
Authors:  Jia, Xinyu;  Yan, Wang Ji;  Papadimitriou, Costas;  Yuen, Ka Veng
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:7.9/8.0 | Submit date:2023/02/28
Structural Dynamics  Hierarchical Bayesian Modelling  Variational Inference  Model Updating  Response Predictions  
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine Journal article
Yang, Zhao Xu, Rong, Hai Jun, Wong, Pak Kin, Angelov, Plamen, Vong, Chi Man, Chiu, Chi Wai, Yang, Zhi Xin. A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine[J]. Cognitive Computation, 2022, 14(2), 828-851.
Authors:  Yang, Zhao Xu;  Rong, Hai Jun;  Wong, Pak Kin;  Angelov, Plamen;  Vong, Chi Man; et al.
Favorite | TC[WOS]:15 TC[Scopus]:11  IF:4.3/4.0 | Submit date:2022/05/13
Engine Knock Detection  Multiple Feature Learning  Sample Entropy  Sparse Bayesian Extreme Learning Machine  Variational Mode Decomposition  
VB-Kalman Based Localization for Connected Vehicles with Delayed and Lost Measurements: Theory and Experiments Journal article
Hao Zhu, Ji Mi, Yongfu Li, Ka-Veng Yuen, Henry Leung. VB-Kalman Based Localization for Connected Vehicles with Delayed and Lost Measurements: Theory and Experiments[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 27(3).
Authors:  Hao Zhu;  Ji Mi;  Yongfu Li;  Ka-Veng Yuen;  Henry Leung
Favorite | TC[WOS]:9 TC[Scopus]:17  IF:6.1/6.2 | Submit date:2022/05/13
Bayes Methods  Connected Vehicles  Delayed And Lost Measurements  Delays  Global Navigation Satellite System  Localization  Location Awareness  Loss Measurement  State Estimation  Time Measurement  Variational Bayesian  
Adaptive parameter estimation of GMM and its application in clustering Journal article
Zhao, Linchang, Shang, Zhaowei, Tan, Jin, Luo, Xiaoliu, Zhang, Taiping, Wei, Yu, Tang, Yuan Yan. Adaptive parameter estimation of GMM and its application in clustering[J]. Future Generation Computer Systems, 2020, 106, 250-259.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Tan, Jin;  Luo, Xiaoliu;  Zhang, Taiping; et al.
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:6.2/5.9 | Submit date:2021/12/06
Machine Learning  Parameter Estimation  Data Clustering  Variational Bayesian Expected Maximum  
Robust Localization for Mixed LOS/NLOS Environments with Anchor Uncertainties Journal article
Li,Yunfei, Ma,Shaodan, Yang,Guanghua, Wong,Kai Kit. Robust Localization for Mixed LOS/NLOS Environments with Anchor Uncertainties[J]. IEEE Transactions on Communications, 2020, 68(7), 4507-4521.
Authors:  Li,Yunfei;  Ma,Shaodan;  Yang,Guanghua;  Wong,Kai Kit
Favorite | TC[WOS]:22 TC[Scopus]:23  IF:7.2/6.3 | Submit date:2021/03/11
Anchor Node Uncertainties  Asymptotic Minimum Mean Square Error (Mmmse)  Bayesian Cramer-rao Bound (Bcrb)  Mixed Los/nlos Measurements  Variational Bayesian Localization (Vbl)