Hua-Liang Wei

发表

Using the NARMAX approach to model the evolution of energetic electrons fluxes at geostationary orbit

S. A. Billings, Michael A. Balikhin, Simon N. Walker, 2011 .

Using the NARMAX OLS-ERR algorithm to obtain the most influential coupling functions that affect the evolution of the magnetosphere

S. A. Billings, Michael A. Balikhin, Hua-Liang Wei, 2011 .

Data based quest for solar wind‐magnetosphere coupling function

Daniel Coca, S. A. Billings, Michael A. Balikhin, 2010 .

Analysis of the geomagnetic activity of the D st index and self-affine fractals using wavelet transforms

S. Billings, H.L. Wei, M. Balikhin, 2004 .

Applications of NARMAX in Space Weather

Hua-Liang Wei, R. J. Boynton, Michael A. Balikhin, 2018 .

Global Identification of Electrical and Mechanical Parameters in PMSM Drive Based on Dynamic Self-Learning PSO

Kan Liu, Qing-Chang Zhong, Zhao-Hua Liu, 2018, IEEE Transactions on Power Electronics.

Time-varying linear and nonlinear parametric model for Granger causality analysis.

Yang Li, Hua-Liang Wei, Xiao-Feng Liao, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Parameter Estimation for VSI-Fed PMSM Based on a Dynamic PSO With Learning Strategies

Kan Liu, Liang-Hong Wu, Qing-Chang Zhong, 2017, IEEE Transactions on Power Electronics.

Complex systems modelling for statistical forecasting of winter North Atlantic atmospheric variability: A new approach to North Atlantic seasonal forecasting

H.L. Wei, Edward Hanna, R. Hall, 2019, Quarterly Journal of the Royal Meteorological Society.

A Pilot Study Investigating a Novel Non-Linear Measure of Eyes Open versus Eyes Closed EEG Synchronization in People with Alzheimer’s Disease and Healthy Controls

Hua-Liang Wei, Annalena Venneri, Stephen A Billings, 2018, Brain sciences.

Using Nonlinear Models to Enhance Prediction Performance with Incomplete Data

Hua-Liang Wei, Faraj A. A. Bashir, Hua-Liang Wei, 2015, ICPRAM.

GPU Implementation of DPSO-RE Algorithm for Parameters Identification of Surface PMSM Considering VSI Nonlinearity

Kan Liu, Qing-Chang Zhong, Zhao-Hua Liu, 2017, IEEE Journal of Emerging and Selected Topics in Power Electronics.

Modeling and prediction of global magnetic disturbance in near‐Earth space: A case study for Kp index using NARX models

Stephen A. Billings, Simon N. Walker, Hua-Liang Wei, 2016 .

Handling missing data in multivariate time series using a vector autoregressive model-imputation (VAR-IM) algorithm

Hua-Liang Wei, Faraj A. A. Bashir, H.L. Wei, 2018, Neurocomputing.

An Adaptive Orthogonal Least Squares Algorithm for Model Subset Selection and Nonlinear System Identification

S. A. Billings, H. L. Wei, S. Billings, 2005 .

Term and variable selection for non-linear system identification

Steve A. Billings, Hua-Liang Wei, J. Liu, 2004 .

Feature Subset Selection and Ranking for Data Dimensionality Reduction

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Generalized multiscale radial basis function networks

Stephen A. Billings, Hua-Liang Wei, Michael A. Balikhin, 2007, Neural Networks.

Identification of Time-Varying Systems Using Multiresolution Wavelet Models

Steve A. Billings, Hua-Liang Wei, S. Billings, 2003 .

Walking gestures recognition based on a novel symbolic representation

Hua-Liang Wei, Xinxin Yao, Xinxin Yao, 2016, 2016 22nd International Conference on Automation and Computing (ICAC).

System Identification and Data‐Driven Forecasting of AE Index and Prediction Uncertainty Analysis Using a New Cloud‐NARX Model

Michael A. Balikhin, Simon N. Walker, Hua-Liang Wei, 2019, Journal of Geophysical Research: Space Physics.

Forecasting the geomagnetic activity of the Dst index using multiscale radial basis function networks

S. A. Billings, Hua-Liang Wei, Michael A. Balikhin, 2007 .

A new class of wavelet networks for nonlinear system identification

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2005, IEEE Transactions on Neural Networks.

A Parametric Method to Measure Time-Varying Linear and Nonlinear Causality With Applications to EEG Data

Stephen A. Billings, Yifan Zhao, Hua-Liang Wei, 2013, IEEE Transactions on Biomedical Engineering.

Spectral Analysis for Nonstationary and Nonlinear Systems: A Discrete-Time-Model-Based Approach

Stephen A. Billings, Fei He, Yifan Zhao, 2013, IEEE Transactions on Biomedical Engineering.

Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio–Temporal System Identification

Stephen A. Billings, Lingzhong Guo, Yifan Zhao, 2009, IEEE Transactions on Neural Networks.

Distractor-Aware Deep Regression for Visual Tracking

Ming Du, Yan Ding, Yifan Zhao, 2019, Sensors.

Improved parameter estimates for non-linear dynamical models using a bootstrap method

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2009, Int. J. Control.

System identification of the fermentation system of Thermoanaerobacter sp. X514

Visakan Kadirkamanathan, Jing Yang, Hua-Liang Wei, 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).

Privacy-Protected Facial Biometric Verification Using Fuzzy Forest Learning

Ahmed Bouridane, Danny Crookes, Richard M. Jiang, 2016, IEEE Transactions on Fuzzy Systems.

Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach

Stephen A. Billings, Yi Pan, John E. W. Mayhew, 2009, IEEE Transactions on Biomedical Engineering.

A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs

Yang Li, Yuzhu Guo, Hua-Liang Wei, 2018, IEEE Transactions on Biomedical Engineering.

A nonlinear causality measure in the frequency domain: Nonlinear partial directed coherence with applications to EEG

S. Billings, H.L. Wei, P. Sarrigiannis, 2014, Journal of Neuroscience Methods.

A Nonlinear Generalization of Spectral Granger Causality

Stephen A. Billings, Fei He, Hua-Liang Wei, 2014, IEEE Transactions on Biomedical Engineering.

Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm

Stephen A. Billings, Lingzhong Guo, Yuzhu Guo, 2015, Int. J. Model. Identif. Control..

An iterative orthogonal forward regression algorithm

Stephen A. Billings, Lingzhong Guo, Yuzhu Guo, 2015, Int. J. Syst. Sci..

Identification of Time-Varying Systems Using Multi-Wavelet Basis Functions

Yang Li, Stephen A. Billings, Hua-Liang Wei, 2011, IEEE Transactions on Control Systems Technology.

Wavelet based non-parametric NARX models for nonlinear input–output system identification

Stephen A. Billings, Hua-Liang Wei, Michael A. Balikhin, 2006, Int. J. Syst. Sci..

An efficient nonlinear cardinal B-spline model for high tide forecasts at the Venice Lagoon

S. A. Billings, Hua-Liang Wei, S. Billings, 2006 .

Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG

Yang Li, Zhongyi Hu, Yuzhu Guo, 2018, IEEE Access.

A new ridge basis function neural network for data-driven modeling and prediction

Simon N. Walker, Hua-Liang Wei, Michael A. Balikhin, 2015, 2015 10th International Conference on Computer Science & Education (ICCSE).

A wavelet neural network model for spatio-temporal image processing and modeling

Richard Jiang, Hua-Liang Wei, Yifan Zhao, 2015, 2015 10th International Conference on Computer Science & Education (ICCSE).

Time-varying model identification for time–frequency feature extraction from EEG data

S. Billings, H.L. Wei, P. Sarrigiannis, 2011, Journal of Neuroscience Methods.

Power-law behaviour evaluation from foreign exchange market data using a wavelet transform method

S. Billings, H.L. Wei, Hua-Liang Wei, 2009 .

Time-varying signal processing using multi-wavelet basis functions and a modified block least mean square algorithm

S. Billings, H.L. Wei, Y. Li, 2009 .

Estimation of spatial derivatives and identification of continuous spatio-temporal dynamical systems

Lingzhong Guo, S. A. Billings, Hua-Liang Wei, 2006 .

Long term prediction of non-linear time series using multiresolution wavelet models

S. Billings, H.L. Wei, Hua-Liang Wei, 2006 .

The wavelet-NARMAX representation: A hybrid model structure combining polynomial models with multiresolution wavelet decompositions

S. A. Billings, H. L. Wei, S. Billings, 2005, Int. J. Syst. Sci..

Model selection to enhance prediction performance in the presence of missing data

Hua-Liang Wei, Faraj A. A. Bashir, Abdollha M. Benomair, 2015, 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR).

Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting

Hua-Liang Wei, H.L. Wei, Hua-Liang Wei, 2019, IWANN.

Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis

Hua-Liang Wei, Hua-Liang Wei, 2019, IWANN.

Analysis of the relationship between lifestyle and life satisfaction using transparent and nonlinear parametric models

Hua-Liang Wei, Yuanlin Gu, H.L. Wei, 2016, 2016 22nd International Conference on Automation and Computing (ICAC).

Identification of continuous-time models for nonlinear dynamic systems from discrete data

Stephen A. Billings, Lingzhong Guo, Yuzhu Guo, 2016, Int. J. Syst. Sci..

Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems

Stephen A. Billings, Lingzhong Guo, Yuzhu Guo, 2016, Neurocomputing.

Fractional power NARX model identification using a harmony search algorithm

S. A. Billings, Jia Zhao, Yifan Zhao, 2012, 2012 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Proceedings.

Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2009, Int. J. Control.

An adaptive orthogonal search algorithm for model subset selection and non-linear system identification

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2008, Int. J. Control.

System identification from small data sets using an output jittering method with application to model estimation of bioethanol production

Visakan Kadirkamanathan, Jing Yang, Hua-Liang Wei, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Forecasting the geomagnetic activity of the Dst Index using radial basis function networks

S. A. Billings, H. L. Wei, D. Q. Zhu, 2006 .

Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2007, IEEE Transactions on Neural Networks.

A century of variation in the dependence of Greenland iceberg calving on ice sheet surface mass balance and regional climate change

S. A. Billings, V. Kadirkamanathan, H. L. Wei, 2014, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Inferring the variation of climatic and glaciological contributions to West Greenland iceberg discharge in the twentieth century

Visakan Kadirkamanathan, Steve A. Billings, Yifan Zhao, 2016 .

The Dominance of Food Supply in Changing Demographic Factors across Africa: A Model Using a Systems Identification Approach

H.L. Wei, G. Bigg, Hua-Liang Wei, 2017 .

Parameter Estimation for VSI-Fed PMSM Based on a Dynamic PSO With Learning Strategies

Qing-Chang Zhong, Lianghong Wu, Kan Liu, 2017, IEEE Transactions on Power Electronics.

Assessing Uncertainty in Space Weather Forecasting Using Quantile Regression and Complex Nonlinear Systems Identification Techniques

R. Boynton, M. Balikhin, S. Walker, 2023, 2023 International Conference on Computing, Electronics & Communications Engineering (iCCECE).

Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis pdf

Yang Li, Tingwen Huang, Yuzhu Guo, 2018, ArXiv.

An Algorithm for Determining the Output Frequency Range of Volterra Models With Multiple Inputs

Stephen A. Billings, Zi Qiang Lang, Hua-Liang Wei, 2007, IEEE Transactions on Circuits and Systems II: Express Briefs.

Model term selection for spatio-temporal system identification using mutual information

Shu Wang, Stephen A. Billings, Daniel Coca, 2013, Int. J. Syst. Sci..

Detecting and tracking time-varying causality with applications to EEG data

S. Billings, H.L. Wei, Yifan Zhao, 2011 .