Hua-Liang Wei
Orcid: 0000-0002-4704-7346
According to our database1,
Hua-Liang Wei
authored at least 101 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2024
2023
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., December, 2023
An effective zero-shot learning approach for intelligent fault detection using 1D CNN.
Appl. Intell., June, 2023
IEEE Trans. Syst. Man Cybern. Syst., 2023
A Tensor-based domain alignment method for intelligent fault diagnosis of rolling bearing in rotating machinery.
Reliab. Eng. Syst. Saf., 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
A Coarse-to-Fine Bilevel Adversarial Domain Adaptation Method for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2022
Sensors, 2022
J. Field Robotics, 2022
CoRR, 2022
Proceedings of the 27th International Conference on Automation and Computing, 2022
Proceedings of the 27th International Conference on Automation and Computing, 2022
Machine Learning for Medical and Healthcare Data Analysis and Modelling: Case Studies and Performance Comparisons of Different Methods.
Proceedings of the 27th International Conference on Automation and Computing, 2022
Proceedings of the 27th International Conference on Automation and Computing, 2022
Proceedings of the 27th International Conference on Automation and Computing, 2022
Proceedings of the 27th International Conference on Automation and Computing, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Optimal Transport-Based Deep Domain Adaptation Approach for Fault Diagnosis of Rotating Machine.
IEEE Trans. Instrum. Meas., 2021
A Stacked Auto-Encoder Based Partial Adversarial Domain Adaptation Model for Intelligent Fault Diagnosis of Rotating Machines.
IEEE Trans. Ind. Informatics, 2021
Nonlinear Modeling of Cortical Responses to Mechanical Wrist Perturbations Using the NARMAX Method.
IEEE Trans. Biomed. Eng., 2021
A Deep Adversarial Learning Prognostics Model for Remaining Useful Life Prediction of Rolling Bearing.
IEEE Trans. Artif. Intell., 2021
FSD-BRIEF: A Distorted BRIEF Descriptor for Fisheye Image Based on Spherical Perspective Model.
Sensors, 2021
A novel time-varying modeling and signal processing approach for epileptic seizure detection and classification.
Neural Comput. Appl., 2021
An efficient bilevel differential evolution algorithm with adaptation of lower level population size and search radius.
Memetic Comput., 2021
Int. J. Autom. Comput., 2021
Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives.
CoRR, 2021
Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems.
CoRR, 2021
CoRR, 2021
CoRR, 2021
2020
A Multiple Beta Wavelet-Based Locally Regularized Ultraorthogonal Forward Regression Algorithm for Time-Varying System Identification With Applications to EEG.
IEEE Trans. Instrum. Meas., 2020
Int. J. Autom. Comput., 2020
Consistency measure based simultaneous feature selection and instance purification for multimedia traffic classification.
Comput. Networks, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs.
IEEE Trans. Biomed. Eng., 2019
Neural Comput. Appl., 2019
Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis.
Proceedings of the Advances in Computational Intelligence, 2019
Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the 25th International Conference on Automation and Computing, 2019
NARMAX Model as a Sparse, Interpretable and Transparent Machine Learning Approach for Big Medical and Healthcare Data Analysis.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
2018
Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG.
IEEE Trans. Neural Networks Learn. Syst., 2018
A robust model structure selection method for small sample size and multiple datasets problems.
Inf. Sci., 2018
Handling missing data in multivariate time series using a vector autoregressive model-imputation (VAR-IM) algorithm.
Neurocomputing, 2018
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis.
CoRR, 2018
Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG.
IEEE Access, 2018
Image Classification Using Generalized Multiscale RBF Networks and Discrete Cosine Transform.
Proceedings of the 24th International Conference on Automation and Computing, 2018
2017
A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking.
Pattern Recognit., 2017
Int. J. Appl. Math. Comput. Sci., 2017
Proceedings of the 23rd International Conference on Automation and Computing, 2017
Proceedings of the 23rd International Conference on Automation and Computing, 2017
Nonlinear dynamic predictive model selection and interference using information criteria.
Proceedings of the 23rd International Conference on Automation and Computing, 2017
BNCA: Full-rank Factorisable Subgraphs Based Unique Structure-Constrained Matrix Factorisation.
Proceedings of the Informatics in Control, Automation and Robotics, 2017
Proceedings of the 14th International Conference on Informatics in Control, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Improving K-means clustering performance using a new global time-series averaging method.
Proceedings of the 9th International Conference on Electronics, 2017
Prediction of Kp index using NARMAX models with a robust model structure selection method.
Proceedings of the 9th International Conference on Electronics, 2017
2016
IEEE Trans. Fuzzy Syst., 2016
Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG.
Int. J. Syst. Sci., 2016
Identification of continuous-time models for nonlinear dynamic systems from discrete data.
Int. J. Syst. Sci., 2016
Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems.
Neurocomputing, 2016
Handling missing data in multivariate time series using a vector autoregressive model based imputation (VAR-IM) algorithm: Part I: VAR-IM algorithm versus traditional methods.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016
Proceedings of the 22nd International Conference on Automation and Computing, 2016
Off-line signature verification based on a new symbolic representation and dynamic time warping.
Proceedings of the 22nd International Conference on Automation and Computing, 2016
Analysis of the relationship between lifestyle and life satisfaction using transparent and nonlinear parametric models.
Proceedings of the 22nd International Conference on Automation and Computing, 2016
Handling Missing Data in Multivariate Time Series Using a Vector Autoregressive Model Based Imputation (VAR-IM) Algorithm. Part II: VAR-IM Algorithm Versus Modern Methods.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016
2015
Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models.
Int. J. Syst. Sci., 2015
Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm.
Int. J. Model. Identif. Control., 2015
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015
Using Nonlinear Models to Enhance Prediction Performance with Incomplete Data.
Proceedings of the ICPRAM 2015, 2015
2014
IEEE Trans. Biomed. Eng., 2014
2013
A Parametric Method to Measure Time-Varying Linear and Nonlinear Causality With Applications to EEG Data.
IEEE Trans. Biomed. Eng., 2013
Spectral Analysis for Nonstationary and Nonlinear Systems: A Discrete-Time-Model-Based Approach.
IEEE Trans. Biomed. Eng., 2013
Model term selection for spatio-temporal system identification using mutual information.
Int. J. Syst. Sci., 2013
2012
A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.
IEEE Trans. Syst. Man Cybern. Part B, 2012
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012
System identification from small data sets using an output jittering method with application to model estimation of bioethanol production.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012
2011
IEEE Trans. Control. Syst. Technol., 2011
ICNC-FSKD 2010 Special Issue on Computers & Mathematics in Natural Computation and Knowledge Discovery.
Comput. Math. Appl., 2011
2010
Neural Networks, 2010
Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multiwavelets.
Int. J. Model. Identif. Control., 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
2009
Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification.
IEEE Trans. Neural Networks, 2009
Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach.
IEEE Trans. Biomed. Eng., 2009
Improved parameter estimates for non-linear dynamical models using a bootstrap method.
Int. J. Control, 2009
Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach.
Int. J. Control, 2009
2008
Constructing an overall dynamical model for a system with changing design parameter properties.
Int. J. Model. Identif. Control., 2008
Model structure selection using an integrated forward orthogonal search algorithm assisted by squared correlation and mutual information.
Int. J. Model. Identif. Control., 2008
An adaptive orthogonal search algorithm for model subset selection and non-linear system identification.
Int. J. Control, 2008
Generalized Cellular Neural Networks (Gcnns) Constructed Using Particle Swarm Optimization for Spatio-Temporal Evolutionary Pattern Identification.
Int. J. Bifurc. Chaos, 2008
2007
Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information.
IEEE Trans. Neural Networks, 2007
An Algorithm for Determining the Output Frequency Range of Volterra Models With Multiple Inputs.
IEEE Trans. Circuits Syst. II Express Briefs, 2007
IEEE Trans. Pattern Anal. Mach. Intell., 2007
A comparative study on global wavelet and polynomial models for non-linear regime-switching systems.
Int. J. Model. Identif. Control., 2007
2006
Wavelet based non-parametric NARX models for nonlinear input-output system identification.
Int. J. Syst. Sci., 2006
Identification of coupled map lattice models for spatio-temporal patterns using wavelets.
Int. J. Syst. Sci., 2006
2005
IEEE Trans. Neural Networks, 2005
The Wavelet-narmax Representation: a Hybrid Model Structure Combining Polynomial Models with Multiresolution Wavelet Decompositions.
Int. J. Syst. Sci., 2005
2004
Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions.
Int. J. Syst. Sci., 2004