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An effective one-iteration learning algorithm based on Gaussian mixture expansion for densities Journal article
Lu, Weiguo, Wu, Xuan, Ding, Deng, Yuan, Gangnan, Zhuang, Jirong. An effective one-iteration learning algorithm based on Gaussian mixture expansion for densities[J]. Communications in Nonlinear Science and Numerical Simulation, 2025, 142, 108494.
Authors:  Lu, Weiguo;  Wu, Xuan;  Ding, Deng;  Yuan, Gangnan;  Zhuang, Jirong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.3 | Submit date：2025/01/22
Gaussian Mixture Model  Density Approximation  Neural Network  Expectation Maximization  Inverse Problem  Embedding  
Semi-Supervised Self-Correcting Graph Neural Network for Intelligent Fault Diagnosis of Rotating Machinery Journal article
Chen, Hao, Wang, Xian Bo, Yang, Zhi Xin. Semi-Supervised Self-Correcting Graph Neural Network for Intelligent Fault Diagnosis of Rotating Machinery[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72, 1-11.
Authors:  Chen, Hao;  Wang, Xian Bo;  Yang, Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:9  IF:5.6/5.6 | Submit date：2024/02/22
Deep Learning  Expectation Maximization (Em) Algorithm  Graph Neural Network (Gnn)  Intelligent Fault Diagnosis (Ifd)  Rotating Machine  
Nuisance Parameter Estimation Algorithms for Separable Nonlinear Models Journal article
Chen, Long, Chen, Jia Bing, Gan, Min, Chen, Guang Yong, Chen, C. L.P.. Nuisance Parameter Estimation Algorithms for Separable Nonlinear Models[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(11), 7236-7247.
Authors:  Chen, Long;  Chen, Jia Bing;  Gan, Min;  Chen, Guang Yong;  Chen, C. L.P.
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:8.6/8.7 | Submit date：2022/05/17
Expectation-maximization (Em) Algorithm  Hierarchical Identification Algorithm  Approximation Algorithms  Separable Nonlinear Optimization Problem  Variable Projection (Vp) Algorithm  
A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model Journal article
Chen, Guang Yong, Chen, Long, Cheng, Chen, Zhang, Xian. A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model[J]. Nonlinear Dynamics, 2021, 104(4), 4023-4034.
Authors:  Chen, Guang Yong;  Chen, Long;  Cheng, Chen;  Zhang, Xian
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:5.2/4.8 | Submit date：2022/05/13
Expectation–maximization (Em) Algorithm  Parameter Estimation  Radial Basis Function Network-based State-dependent Autoregressive (Rbf-ar) Model  Separable Nonlinear Least Squares Problem (Snlls)  Variable Projection (Vp) Algorithm  
Joint Registration of Multiple Point Sets by Preserving Global and Local Structure Conference paper
Hao Zhu, Bin Guo, Ka-Veng Yuen, Henry Leung, Yongfu Li, Zhen Tian. Joint Registration of Multiple Point Sets by Preserving Global and Local Structure[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018, 1459-1463.
Authors:  Hao Zhu;  Bin Guo;  Ka-Veng Yuen;  Henry Leung;  Yongfu Li; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/02/12
Multiple Point Sets Registration  Local Features  Gaussian Mixture Model  Expectation Maximization  
Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification Journal article
Luo L., Yang J., Zhang B., Jiang J., Huang H.. Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(11), 5330-5344.
Authors:  Luo L.;  Yang J.;  Zhang B.;  Jiang J.;  Huang H.
Favorite | TC[WOS]:12 TC[Scopus]:16  IF:10.2/10.4 | Submit date：2019/04/04
Correlated Group Regression  Expectation-maximization (Em)  Robust Image Classification  Scale Mixture Of Matrix Gaussian Distribution  Sparse Bayesian Learning (Sbl)  
A joint data association, registration, and fusion approach for distributed tracking Journal article
Hao Zhu, Henry Leung, Ka-Veng Yuen. A joint data association, registration, and fusion approach for distributed tracking[J]. Information Sciences, 2015, 324, 186-196.
Authors:  Hao Zhu;  Henry Leung;  Ka-Veng Yuen
Favorite | TC[WOS]:34 TC[Scopus]:56  IF:0/0 | Submit date：2019/02/12
Sensor Registration  Distributed Tracking  Track Fusion  Pseudo Measurement  Expectation Maximization  
Reliability modeling and life estimation using an expectation maximization based wiener degradation model for momentum wheels Journal article
Li H., Pan D., Chen C.L.P.. Reliability modeling and life estimation using an expectation maximization based wiener degradation model for momentum wheels[J]. IEEE Transactions on Cybernetics, 2015, 45(5), 955-963.
Authors:  Li H.;  Pan D.;  Chen C.L.P.
Favorite | TC[WOS]:57 TC[Scopus]:73 | Submit date：2019/02/11
Expectation Maximization (Em)  First Hitting Time (Fht)  Momentum Wheel (Mw)  Reliability  Wiener Process  
Simultaneously learning dna motif along with its position and sequence rank preferences through expectation maximization algorithm Journal article
Zhang Z., Chang C.W., Hugo W., Cheung E., Sung W.-K.. Simultaneously learning dna motif along with its position and sequence rank preferences through expectation maximization algorithm[J]. Journal of Computational Biology, 2013, 20(3), 237-248.
Authors:  Zhang Z.;  Chang C.W.;  Hugo W.;  Cheung E.;  Sung W.-K.
Favorite | TC[WOS]:10 TC[Scopus]:10 | Submit date：2018/12/17
Binding Preference  Expectation Maximization  Importance Sampling  Motif Finding.  
Simultaneously learning DNA motif along with Its position and sequence rank preferences through em algorithm Conference paper
Zhang Z., Chang C.W., Hugo W., Cheung E., Sung W.-K.. Simultaneously learning DNA motif along with Its position and sequence rank preferences through em algorithm[C], 2012, 355-370.
Authors:  Zhang Z.;  Chang C.W.;  Hugo W.;  Cheung E.;  Sung W.-K.
Favorite | TC[Scopus]:1 | Submit date：2018/12/17
Binding Preference  Expectation Maximization  Importance Sampling  Motif Finding