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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)