Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions. - Hua-Liang Wei; Stephen A. Billings (Int. J. Syst. Sci., 2004)

The Wavelet-narmax Representation: a Hybrid Model Structure Combining Polynomial Models with Multiresolution Wavelet Decompositions. - Stephen A. Billings; Hua-Liang Wei (Int. J. Syst. Sci., 2005)

A new class of wavelet networks for nonlinear system identification. - Stephen A. Billings; Hua-Liang Wei (IEEE Trans. Neural Networks, 2005)

Identification of coupled map lattice models for spatio-temporal patterns using wavelets. - Stephen A. Billings; Lingzhong Guo; Hua-Liang Wei (Int. J. Syst. Sci., 2006)

Wavelet based non-parametric NARX models for nonlinear input-output system identification. - Hua-Liang Wei; Stephen A. Billings; Michael A. Balikhin (Int. J. Syst. Sci., 2006)

A comparative study on global wavelet and polynomial models for non-linear regime-switching systems. - Hua-Liang Wei; Stephen A. Billings (Int. J. Model. Identif. Control., 2007)

Generalized multiscale radial basis function networks. - Stephen A. Billings; Hua-Liang Wei; Michael A. Balikhin (Neural Networks, 2007)

Feature Subset Selection and Ranking for Data Dimensionality Reduction. - Hua-Liang Wei; Stephen A. Billings (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

An Algorithm for Determining the Output Frequency Range of Volterra Models With Multiple Inputs. - Hua-Liang Wei; Zi Qiang Lang; Stephen A. Billings (IEEE Trans. Circuits Syst. II Express Briefs, 2007)

Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information. - Stephen A. Billings; Hua-Liang Wei (IEEE Trans. Neural Networks, 2007)

Generalized Cellular Neural Networks (Gcnns) Constructed Using Particle Swarm Optimization for Spatio-Temporal Evolutionary Pattern Identification. - Hua-Liang Wei; Stephen A. Billings (Int. J. Bifurc. Chaos, 2008)

An adaptive orthogonal search algorithm for model subset selection and non-linear system identification. - Stephen A. Billings; Hua-Liang Wei (Int. J. Control, 2008)

Model structure selection using an integrated forward orthogonal search algorithm assisted by squared correlation and mutual information. - Hua-Liang Wei; Stephen A. Billings (Int. J. Model. Identif. Control., 2008)

Constructing an overall dynamical model for a system with changing design parameter properties. - Hua-Liang Wei; Zi Qiang Lang; Stephen A. Billings (Int. J. Model. Identif. Control., 2008)

Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach. - Hua-Liang Wei; Stephen A. Billings (Int. J. Control, 2009)

Improved parameter estimates for non-linear dynamical models using a bootstrap method. - Hua-Liang Wei; Stephen A. Billings (Int. J. Control, 2009)

Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach. - Hua-Liang Wei; Ying Zheng; Yi Pan 002; Daniel Coca; Liang-Min Li; John E. W. Mayhew; Stephen A. Billings (IEEE Trans. Biomed. Eng., 2009)

Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification. - Hua-Liang Wei; S. A. Billings; Yifan Zhao 001; Lingzhong Guo (IEEE Trans. Neural Networks, 2009)

Preface. - Shigang Yue; Hua-Liang Wei; Lipo Wang; Yibin Song (ICNC, 2010)

Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multiwavelets. - Hua-Liang Wei; Stephen A. Billings; Julian J. Liu (Int. J. Model. Identif. Control., 2010)

An adaptive wavelet neural network for spatio-temporal system identification. - Hua-Liang Wei; Stephen A. Billings; Yifan Zhao 001; Lingzhong Guo (Neural Networks, 2010)

ICNC-FSKD 2010 Special Issue on Computers & Mathematics in Natural Computation and Knowledge Discovery. - Shigang Yue; Hua-Liang Wei; Maozhen Li 001; Qilian Liang; Lipo Wang (Comput. Math. Appl., 2011)

Identification of Time-Varying Systems Using Multi-Wavelet Basis Functions. - Yang Li 010; Hua-Liang Wei; Stephen A. Billings (IEEE Trans. Control. Syst. Technol., 2011)

System identification from small data sets using an output jittering method with application to model estimation of bioethanol production. - Jing Yang 006; Hua-Liang Wei; Visakan Kadirkamanathan; Xiaofang Lin (ICMLC, 2012)

System identification of the fermentation system of Thermoanaerobacter sp. X514. - Jing Yang 006; Xiaofang Ling; Lishan Yao; Hua-Liang Wei; Visakan Kadirkamanathan (ISB, 2012)

A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm. - Yifan Zhao 001; Hua-Liang Wei; S. A. Billings (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Model term selection for spatio-temporal system identification using mutual information. - Shu Wang; Hua-Liang Wei; Daniel Coca; Stephen A. Billings (Int. J. Syst. Sci., 2013)

Spectral Analysis for Nonstationary and Nonlinear Systems: A Discrete-Time-Model-Based Approach. - Fei He 002; Stephen A. Billings; Hua-Liang Wei; Ptolemaios G. Sarrigiannis; Yifan Zhao 001 (IEEE Trans. Biomed. Eng., 2013)

A Parametric Method to Measure Time-Varying Linear and Nonlinear Causality With Applications to EEG Data. - Yifan Zhao 001; Stephen A. Billings; Hua-Liang Wei; Ptolemaios G. Sarrigiannis (IEEE Trans. Biomed. Eng., 2013)

A Nonlinear Generalization of Spectral Granger Causality. - Fei He 002; Hua-Liang Wei; Stephen A. Billings; Ptolemaios G. Sarrigiannis (IEEE Trans. Biomed. Eng., 2014)

Using Nonlinear Models to Enhance Prediction Performance with Incomplete Data. - Faraj A. A. Bashir; Hua-Liang Wei (ICPRAM (1), 2015)

Model selection to enhance prediction performance in the presence of missing data. - Faraj A. A. Bashir; Hua-Liang Wei; Abdollha M. Benomair (MMAR, 2015)

Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm. - Yuzhu Guo; Lingzhong Guo; Stephen A. Billings; Hua-Liang Wei (Int. J. Model. Identif. Control., 2015)

An iterative orthogonal forward regression algorithm. - Yuzhu Guo; Lingzhong Guo; Stephen A. Billings; Hua-Liang Wei (Int. J. Syst. Sci., 2015)

Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models. - Fei He 002; Hua-Liang Wei; Stephen A. Billings (Int. J. Syst. Sci., 2015)

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. - Faraj A. A. Bashir; Hua-Liang Wei (CSE/EUC/DCABES, 2016)

Analysis of the relationship between lifestyle and life satisfaction using transparent and nonlinear parametric models. - Yuanlin Gu; Hua-Liang Wei (ICAC, 2016)

Off-line signature verification based on a new symbolic representation and dynamic time warping. - Xinxin Yao; Hua-Liang Wei (ICAC, 2016)

Walking gestures recognition based on a novel symbolic representation. - Xinxin Yao; Hua-Liang Wei (ICAC, 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. - Faraj A. A. Bashir; Hua-Liang Wei (MED, 2016)

Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. - Yuzhu Guo; Lingzhong Guo; S. A. Billings; Hua-Liang Wei (Neurocomputing, 2016)

Identification of continuous-time models for nonlinear dynamic systems from discrete data. - Yuzhu Guo; Lingzhong Guo; Stephen A. Billings; Hua-Liang Wei (Int. J. Syst. Sci., 2016)

Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG. - Yang Li 010; Hua-Liang Wei; Stephen A. Billings; Ptolemaios G. Sarrigiannis (Int. J. Syst. Sci., 2016)

Privacy-Protected Facial Biometric Verification Using Fuzzy Forest Learning. - Richard Jiang 001; Ahmed Bouridane; Danny Crookes; M. Emre Celebi 001; Hua-Liang Wei (IEEE Trans. Fuzzy Syst., 2016)

Prediction of Kp index using NARMAX models with a robust model structure selection method. - Yuanlin Gu; Hua-Liang Wei; Richard J. Boynton; Simon N. Walker; Michael A. Balikhin (ECAI, 2017)

Improving K-means clustering performance using a new global time-series averaging method. - Xinxin Yao; Hua-Liang Wei (ECAI, 2017)

Incremental modelling of transcriptional regulatory networks. - H. R. Sachin Prabhu; Hua-Liang Wei (GlobalSIP, 2017)

Preprocessing Graphs for Network Inference Applications. - H. R. Sachin Prabhu; Hua-Liang Wei (ICINCO (1), 2017)

BNCA: Full-rank Factorisable Subgraphs Based Unique Structure-Constrained Matrix Factorisation. - H. R. Sachin Prabhu; Hua-Liang Wei (ICINCO (Selected Papers), 2017)

Nonlinear dynamic predictive model selection and interference using information criteria. - Yuanlin Gu; Hua-Liang Wei; Michael A. Balikhin (ICAC, 2017)

Digital image classification and detection using a 2D-NARX model. - Carlos Beltran Perez; Hua-Liang Wei (ICAC, 2017)

Short-term stock price forecasting based on similar historical patterns extraction. - Xinxin Yao; Hua-Liang Wei (ICAC, 2017)

Stochastic Fractal Based Multiobjective Fruit Fly Optimization. - Cili Zuo; Lianghong Wu; Zhao-Fu Zeng; Hua-Liang Wei (Int. J. Appl. Math. Comput. Sci., 2017)

A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking. - Azlyna Senawi; Hua-Liang Wei; Stephen A. Billings (Pattern Recognit., 2017)

Image Classification Using Generalized Multiscale RBF Networks and Discrete Cosine Transform. - Carlos Beltran Perez; Hua-Liang Wei (ICAC, 2018)

Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG. - Yang Li 010; Meng-Ying Lei; Yuzhu Guo; Zhongyi Hu; Hua-Liang Wei (IEEE Access, 2018)

Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis. - Yang Li 010; Meng-Ying Lei; Xianrui Zhang; Wei-Gang Cui; Yuzhu Guo; Tingwen Huang; Hua-Liang Wei (CoRR, 2018)

Handling missing data in multivariate time series using a vector autoregressive model-imputation (VAR-IM) algorithm. - Faraj A. A. Bashir; Hua-Liang Wei (Neurocomputing, 2018)

A robust model structure selection method for small sample size and multiple datasets problems. - Yuanlin Gu; Hua-Liang Wei (Inf. Sci., 2018)

Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG. - Yang Li 010; Wei-Gang Cui; Yuzhu Guo; Tingwen Huang; Xiao-Feng Yang; Hua-Liang Wei (IEEE Trans. Neural Networks Learn. Syst., 2018)

NARMAX Model as a Sparse, Interpretable and Transparent Machine Learning Approach for Big Medical and Healthcare Data Analysis. - Stephen A. Billings; Hua-Liang Wei (HPCC/SmartCity/DSS, 2019)

Machine Learning Enhanced NARMAX Model for Dst Index Forecasting. - Yuanlin Gu; Hua-Liang Wei; Michael A. Balikhin; Richard J. Boynton; Simon N. Walker (ICAC, 2019)

Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting. - Hua-Liang Wei (IWANN (1), 2019)

Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis. - Hua-Liang Wei (IWANN (1), 2019)

A novel logistic-NARX model as a classifier for dynamic binary classification. - José Roberto Ayala Solares; Hua-Liang Wei; Stephen A. Billings (Neural Comput. Appl., 2019)

Distractor-Aware Deep Regression for Visual Tracking. - Ming Du; Yan Ding 003; Xiuyun Meng; Hua-Liang Wei; Yifan Zhao 001 (Sensors, 2019)

A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs. - Yang Li 010; Meng-Ying Lei; Wei-Gang Cui; Yuzhu Guo; Hua-Liang Wei (IEEE Trans. Biomed. Eng., 2019)

A Global to Local Double Embedding Method for Multi-person Pose Estimation. - Yiming Xu; Jiaxin Li; Yan Ding 003; Hua-Liang Wei (ACCV (5), 2020)

Consistency measure based simultaneous feature selection and instance purification for multimedia traffic classification. - Zheng Wu; Yu-ning Dong; Hua-Liang Wei; Wei Tian (Comput. Networks, 2020)

Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection. - Carlos Beltran Perez; Hua-Liang Wei; Adrian Rubio-Solis (Int. J. Autom. Comput., 2020)

LdsConv: Learned Depthwise Separable Convolutions by Group Pruning. - Wenxiang Lin; Yan Ding 003; Hua-Liang Wei; Xinglin Pan; Yutong Zhang (Sensors, 2020)

A Multiple Beta Wavelet-Based Locally Regularized Ultraorthogonal Forward Regression Algorithm for Time-Varying System Identification With Applications to EEG. - Yang Li 010; Jing-Bo Zhang 002; Wei-Gang Cui; Heng Yuan; Hua-Liang Wei (IEEE Trans. Instrum. Meas., 2020)

A Global to Local Double Embedding Method for Multi-person Pose Estimation. - Yiming Xu; Jiaxin Li; Yiheng Peng; Yan Ding 003; Hua-Liang Wei (CoRR, 2021)

Characterising Linear Spatio-Temporal Dynamical Systems in the Frequency Domain. - Hua-Liang Wei (CoRR, 2021)

Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems. - Hua-Liang Wei; S. A. Billings (CoRR, 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. - Hua-Liang Wei; S. A. Billings (CoRR, 2021)

Hybrid Deep Learning Model for Short-Term Wind Speed Forecasting Based on Time Series Decomposition and Gated Recurrent Unit. - Chang-Tong Wang; Zhaohua Liu; Hua-Liang Wei; Lei Chen 045; Hongqiang Zhang (Complex Syst. Model. Simul., 2021)

A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings. - Zhao-Hua Liu; Xudong Meng; Hua-Liang Wei; Liang Chen; Bi-Liang Lu; Zhenheng Wang; Lei Chen 045 (Int. J. Autom. Comput., 2021)

An efficient bilevel differential evolution algorithm with adaptation of lower level population size and search radius. - Lianghong Wu; Zhenzu Liu; Hua-Liang Wei; Rui Wang 017 (Memetic Comput., 2021)

A novel time-varying modeling and signal processing approach for epileptic seizure detection and classification. - Qinghua Wang; Hua-Liang Wei; Lina Wang 003; Song Xu (Neural Comput. Appl., 2021)

FSD-BRIEF: A Distorted BRIEF Descriptor for Fisheye Image Based on Spherical Perspective Model. - Yutong Zhang; Jianmei Song; Yan Ding 003; Yating Yuan; Hua-Liang Wei (Sensors, 2021)

A Deep Adversarial Learning Prognostics Model for Remaining Useful Life Prediction of Rolling Bearing. - Bi-Liang Lu; Zhao-Hua Liu; Hua-Liang Wei; Lei Chen 045; Hongqiang Zhang; Xiao-Hua Li (IEEE Trans. Artif. Intell., 2021)

Nonlinear Modeling of Cortical Responses to Mechanical Wrist Perturbations Using the NARMAX Method. - Yuanlin Gu; Yuan Yang 002; Julius P. A. Dewald; Frans C. T. van der Helm; Alfred C. Schouten; Hua-Liang Wei (IEEE Trans. Biomed. Eng., 2021)

A Stacked Auto-Encoder Based Partial Adversarial Domain Adaptation Model for Intelligent Fault Diagnosis of Rotating Machines. - Zhao-Hua Liu; Bi-Liang Lu; Hua-Liang Wei; Lei Chen 045; Xiao-Hua Li; Chang-Tong Wang (IEEE Trans. Ind. Informatics, 2021)

Optimal Transport-Based Deep Domain Adaptation Approach for Fault Diagnosis of Rotating Machine. - Zhaohua Liu; Lin-Bo Jiang; Hua-Liang Wei; Lei Chen 045; Xiao-Hua Li (IEEE Trans. Instrum. Meas., 2021)

Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis. - Zhao-Hua Liu; Bi-Liang Lu; Hua-Liang Wei; Lei Chen 045; Xiao-Hua Li; Matthias Rätsch (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Tide Level Prediction Using NARX-based Recurrent Neural Networks. - Nerfita Nikentari; Hua-Liang Wei (ICAC, 2022)

Multi-Task Learning for Time Series Forecasting Using NARMAX-LSTM. - Nerfita Nikentari; Hua-Liang Wei (ICAC, 2022)

Efficient Mask Attention-Based NARMAX (MAB-NARMAX) Model Identification. - Yiming Sun; Hua-Liang Wei (ICAC, 2022)

Machine Learning for Medical and Healthcare Data Analysis and Modelling: Case Studies and Performance Comparisons of Different Methods. - Bo Sun; Hua-Liang Wei (ICAC, 2022)

A Hybrid 1DCNN-SVM Model for Bearing Fault Recognition and Classification. - Guoliang Wang; Hua-Liang Wei (ICAC, 2022)

Zero-Shot Learning for Intelligent Fault Detection. - Siyu Zhang; Hua-Liang Wei (ICAC, 2022)

SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking. - Jiaxin Li; Yan Ding 003; Hua-Liang Wei (CoRR, 2022)

An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor. - Zhong Liao; Zhaohua Liu; Lei Chen 045; Mingyang Lyu; Zhengheng Wang; Dian Wang; Fa-Ming Wu; Hua-Liang Wei (Complex Syst. Model. Simul., 2022)

A fast manhattan frame estimation method based on normal vectors. - Yutong Zhang; Yan Ding 003; Jianmei Song; Jiaxin Li; Hua-Liang Wei (J. Field Robotics, 2022)

SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking. - Jiaxin Li; Yan Ding 003; Hua-Liang Wei; Yutong Zhang; Wenxiang Lin (Sensors, 2022)

A Coarse-to-Fine Bilevel Adversarial Domain Adaptation Method for Fault Diagnosis of Rolling Bearings. - Zhao-Hua Liu; Liang Chen; Hua-Liang Wei; Ying Zhang 060; Lei Chen 045; Mingyang Lv (IEEE Trans. Instrum. Meas., 2022)

Multimedia Traffic Classification for Imbalanced Environment. - Zheng Wu; Yu-ning Dong; Jiong Jin; Hua-Liang Wei; Gaogang Xie (IEEE Trans. Netw. Sci. Eng., 2022)

A Tensor-based domain alignment method for intelligent fault diagnosis of rolling bearing in rotating machinery. - Zhao-Hua Liu; Liang Chen; Hua-Liang Wei; Fa-Ming Wu; Lei Chen 045; Ya-Nan Chen (Reliab. Eng. Syst. Saf., 2023)

Online Classification of Network Traffic Based on Granular Computing. - Pingping Tang; Yuning Dong; Shiwen Mao; Hua-Liang Wei; Jiong Jin (IEEE Trans. Syst. Man Cybern. Syst., 2023)

An effective zero-shot learning approach for intelligent fault detection using 1D CNN. - Siyu Zhang; Hua-Liang Wei; Jinliang Ding (Appl. Intell., 2023)

A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery. - Bi-Liang Lu; Yingjie Zhang; Zhaohua Liu; Hua-Liang Wei; Qingshuai Sun (Reliab. Eng. Syst. Saf., 2023)

Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning. - Yuanlin Gu; Hua-Liang Wei (MED, 2024)

On Sparse Nonlinear System Identification Using Orthogonal Matching Pursuit, Orthogonal Least Squares and LASSO. - Hua-Liang Wei (MED, 2024)

A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data. - Zhao-Hua Liu; Chang-Tong Wang; Hua-Liang Wei; Bing Zeng; Ming Li; Xiao-Ping Song (Expert Syst. Appl., 2024)

A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery. - Shi-Zheng Yuan; Zhao-Hua Liu; Hua-Liang Wei; Lei Chen 045; Mingyang Lv; Xiao-Hua Li (IEEE Trans. Instrum. Meas., 2024)

New Class Detection in Network Traffic Classification Using Confidence Information Embedded Cascade Structure. - Haotian Lu 006; Yuning Dong; Zhiyuan Wu; Hua-Liang Wei; Guanming Lu (IEEE Trans. Netw. Sci. Eng., 2025)