Dual-orthogonal radial basis function networks for nonlinear time series prediction. - Stephen A. Billings; Xia Hong 001 (Neural Networks, 1998)

Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition. - Xia Hong 001; Christopher J. Harris 001 (IEEE Trans. Neural Networks Learn. Syst., 2000)

Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. - Xia Hong 001; Chris J. Harris (IEEE Trans. Fuzzy Syst., 2001)

Nonlinear model structure detection using optimum experimental design and orthogonal least squares. - Xia Hong 001; Chris J. Harris (IEEE Trans. Neural Networks, 2001)

Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach - Chris J. Harris; Xia Hong 001; Qiang Gan 001 (Springer, 2002)

A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. - Xia Hong 001; Chris J. Harris (Appl. Intell., 2002)

Nonlinear model structure design and construction using orthogonal least squares and D-optimality design. - Xia Hong 001; Chris J. Harris (IEEE Trans. Neural Networks, 2002)

Experimental design and model construction algorithms for radial basis function networks. - Xia Hong 001; Chris J. Harris (Int. J. Syst. Sci., 2003)

Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IEEE Trans. Autom. Control., 2003)

A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition. - Xia Hong 001; Chris J. Harris (IEEE Trans. Fuzzy Syst., 2003)

A robust nonlinear identification algorithm using PRESS statistic and forward regression. - Xia Hong 001; Paul M. Sharkey; Kevin Warwick (IEEE Trans. Neural Networks, 2003)

Robust nonlinear model identification methods using forward regression. - Xia Hong 001; Chris J. Harris; Sheng Chen 001; Paul M. Sharkey (IEEE Trans. Syst. Man Cybern. Part A, 2003)

On Improvement of Classification Accuracy for Stochastic Discrimination - Multi-class Classification. - Ning Zong; Xia Hong 001 (CCCT (2), 2004)

Kernel Density Construction Using Orthogonal Forward Regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IDEAL, 2004)

Backward Elimination Methods for Associative Memory Network Pruning. - Xia Hong 001; Chris J. Harris; Martin Brown 001; Sheng Chen 001 (Int. J. Hybrid Intell. Syst., 2004)

Automatic Kernel Regression Modelling Using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares. - Xia Hong 001; Sheng Chen 001; Paul M. Sharkey (Int. J. Neural Syst., 2004)

Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. - Sheng Chen 001; Xia Hong 001; Chris J. Harris; Paul M. Sharkey (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality. - Xia Hong 001; Chris J. Harris; Sheng Chen 001 (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Sparse Generalized Kernel Modeling for Nonlinear Systems. - Sheng Chen 001; Xia Hong 001; Xunxian Wang; Christopher J. Harris 001 (CDC/ECC, 2005)

Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (ICIC (1), 2005)

Nonlinear channel equalizer design using directional evolutionary multi-objective optimization. - Ning Zong; Xia Hong 001 (Int. J. Syst. Sci., 2005)

Identification of nonlinear systems using generalized kernel models. - Sheng Chen 001; Xia Hong 001; Chris J. Harris; Xunxian Wang (IEEE Trans. Control. Syst. Technol., 2005)

M-estimator and D-optimality model construction using orthogonal forward regression. - Xia Hong 001; Sheng Chen 001 (IEEE Trans. Syst. Man Cybern. Part B, 2005)

On improvement of classification accuracy for stochastic discrimination. - Ning Zong; Xia Hong 001 (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (ICIC (1), 2006)

Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. - Sheng Chen 001; Chris J. Harris; Xia Hong 001 (IJCNN, 2006)

Finding the point on Bezier curves with the normal vector passing an external point. - Xia Hong 001; William S. Harwin (Int. J. Model. Identif. Control., 2006)

Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. - Sheng Chen 001; Xunxian Wang; Xia Hong 001; Chris J. Harris (IEEE Trans. Neural Networks, 2006)

A fast identification algorithm for box-cox transformation based radial basis function neural network. - Xia Hong 001 (IEEE Trans. Neural Networks, 2006)

A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (ICIC (3), 2007)

Sparse Kernel Modelling: A Unified Approach. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IDEAL, 2007)

Probability Density Function Estimation Using Orthogonal Forward Regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2007)

A Multi-Level Probabilistic Neural Network. - Ning Zong; Xia Hong 001 (ISNN (2), 2007)

A Forward Constrained Selection Algorithm for Probabilistic Neural Network. - Ning Zong; Xia Hong 001 (ISNN (2), 2007)

Backward elimination model construction for regression and classification using leave-one-out criteria. - Xia Hong 001; Richard J. Mitchell 001 (Int. J. Syst. Sci., 2007)

A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Neural Networks, 2007)

A New Algorithm for OFDM Joint Data Detection and Phase Noise Cancellation. - Yu Gong; Xia Hong 001 (ICC, 2008)

Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2008)

Fully complex-valued radial basis function networks for orthogonal least squares regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2008)

A minimum approximate-BER beamforming approach for PSK modulated wireless systems. - Xia Hong 001; Sheng Chen 001 (Int. J. Autom. Comput., 2008)

Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification. - Sheng Chen 001; Xia Hong 001; Chris J. Harris; Lajos Hanzo (Neurocomputing, 2008)

An orthogonal forward regression technique for sparse kernel density estimation. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (Neurocomputing, 2008)

Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007). - Kang Li 002; Xia Hong 001; George W. Irwin (Neurocomputing, 2008)

A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (Int. J. Syst. Sci., 2008)

Model selection approaches for non-linear system identification: a review. - Xia Hong 001; Richard J. Mitchell 001; Sheng Chen 001; Chris J. Harris; Kang Li 002; George W. Irwin (Int. J. Syst. Sci., 2008)

A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Neural Networks, 2008)

A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Neural Networks, 2008)

A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. - Sheng Chen 001; Xia Hong 001; Bing Lam Luk; Chris J. Harris (CDC, 2009)

Non-linear system identification using particle swarm optimisation tuned radial basis function models. - Sheng Chen 001; Xia Hong 001; Bing Lam Luk; Chris J. Harris (Int. J. Bio Inspired Comput., 2009)

Orthogonal-least-squares regression: A unified approach for data modelling. - Sheng Chen 001; Xia Hong 001; Bing Lam Luk; Chris J. Harris (Neurocomputing, 2009)

OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error. - Yu Gong; Xia Hong 001 (Signal Process., 2009)

Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection. - Sheng Chen 001; Xia Hong 001; Bing Lam Luk; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 2009)

A New RBF Neural Network With Boundary Value Constraints. - Xia Hong 001; Sheng Chen 001 (IEEE Trans. Syst. Man Cybern. Part B, 2009)

OFDM joint data detection and phase noise cancellation for constant modulus modulations. - Yu Gong; Xia Hong 001 (IEEE Trans. Signal Process., 2009)

Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2010)

Sparse kernel density estimation technique based on zero-norm constraint. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2010)

Regression based D-optimality experimental design for sparse kernel density estimation. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (Neurocomputing, 2010)

Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IEEE Trans. Evol. Comput., 2010)

Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence. - Hao Chen 031; Yu Gong; Xia Hong 001 (ICASSP, 2011)

A Wiener model for memory high power amplifiers using B-spline function approximation. - Xia Hong 001; Yu Gong; Sheng Chen 001 (DSP, 2011)

On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. - Ming Gao 003; Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2011)

B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. - Xia Hong 001; Yu Gong; Sheng Chen 001 (IJCNN, 2011)

Grey-box radial basis function modelling. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (Neurocomputing, 2011)

A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems. - Ming Gao 003; Xia Hong 001; Sheng Chen 001; Chris J. Harris (Neurocomputing, 2011)

Modeling of Complex-Valued Wiener Systems Using B-Spline Neural Network. - Xia Hong 001; Sheng Chen 001 (IEEE Trans. Neural Networks, 2011)

Constrained Grouped Sparsity. - Yi Guo 001; Junbin Gao; Xia Hong 001 (Australasian Conference on Artificial Intelligence, 2012)

PSO Assisted NURB Neural Network Identification. - Xia Hong 001; Sheng Chen 001 (ICIC (1), 2012)

B-Spline Neural Networks Based PID Controller for Hammerstein Systems. - Xia Hong 001; Serdar Iplikci; Sheng Chen 001; Kevin Warwick (ICIC (3), 2012)

Probability density function estimation based over-sampling for imbalanced two-class problems. - Ming Gao 003; Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2012)

Modelling and inverting complex-valued wiener systems. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2012)

A neurofuzzy classifier for two class problems. - Ming Gao 003; Xia Hong 001; Chris J. Harris (UKCI, 2012)

The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization. - Xia Hong 001; Sheng Chen 001 (Neurocomputing, 2012)

Bio-inspired computing and applications (LSMS-ICSEE, 2010). - Kang Li 002; Xia Hong 001; Guido Maione; Qun Niu (Neurocomputing, 2012)

Using zero-norm constraint for sparse probability density function estimation. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (Int. J. Syst. Sci., 2012)

Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm. - Xia Hong 001; Richard J. Mitchell 001; Sheng Chen 001 (Int. J. Syst. Sci., 2012)

A fast algorithm for sparse probability density function construction. - Xia Hong 001; Sheng Chen 001 (DSP, 2013)

Sparse model construction using coordinate descent optimization. - Xia Hong 001; Yi Guo 001; Sheng Chen 001; Junbin Gao (DSP, 2013)

Sparse probability density function estimation using the minimum integrated square error. - Xia Hong 001; Sheng Chen 001; Abdulrohman Qatawneh; Khaled Daqrouq; Muntasir Sheikh; Ali Morfeq (Neurocomputing, 2013)

Particle swarm optimisation assisted classification using elastic net prefiltering. - Xia Hong 001; Junbin Gao; Sheng Chen 001; Chris J. Harris (Neurocomputing, 2013)

System identification of Wiener systems with B-spline functions using De Boor recursion. - Xia Hong 001; Richard J. Mitchell 001; Sheng Chen 001 (Int. J. Syst. Sci., 2013)

Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm. - Sheng Chen 001; Xia Hong 001; Yu Gong; Chris J. Harris (IEEE Trans. Circuits Syst. I Regul. Pap., 2013)

Online Modeling With Tunable RBF Network. - Hao Chen 031; Yu Gong; Xia Hong 001 (IEEE Trans. Cybern., 2013)

Elastic-Net Prefiltering for Two-Class Classification. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Cybern., 2013)

Tensor Regression Based on Linked Multiway Parameter Analysis. - Yifan Fu; Junbin Gao; Xia Hong 001; David Tien (ICDM, 2014)

On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers. - Sheng Chen 001; Xia Hong 001; Chris J. Harris (IJCNN, 2014)

Joint multiple dictionary learning for Tensor sparse coding. - Yifan Fu; Junbin Gao; Yanfeng Sun; Xia Hong 001 (IJCNN, 2014)

B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. - Xia Hong 001; Sheng Chen 001; Chris J. Harris (IJCNN, 2014)

Dimensionality reduction assisted tensor clustering. - Yanfeng Sun; Junbin Gao; Xia Hong 001; Yi Guo 001; Chris J. Harris (IJCNN, 2014)

Gaussian Processes Autoencoder for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Xia Hong 001; Zhihua Cai (PAKDD (2), 2014)

A radial basis function network classifier to maximise leave-one-out mutual information. - Xia Hong 001; Sheng Chen 001; Abdulrohman Qatawneh; Khaled Daqrouq; Muntasir Sheikh; Ali Morfeq (Appl. Soft Comput., 2014)

PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. - Ming Gao 003; Xia Hong 001; Sheng Chen 001; Chris J. Harris; Emad Khalaf (Neurocomputing, 2014)

Fast identification algorithms for Gaussian process model. - Xia Hong 001; Junbin Gao; Xinwei Jiang; Chris J. Harris (Neurocomputing, 2014)

A unified neurofuzzy model for classification. - Ming Gao 003; Xia Hong 001; Chris J. Harris (Int. J. Syst. Sci., 2014)

Construction of Neurofuzzy Models For Imbalanced Data Classification. - Ming Gao 003; Xia Hong 001; Chris J. Harris (IEEE Trans. Fuzzy Syst., 2014)

Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. - Sheng Chen 001; Xia Hong 001; Junbin Gao; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2014)

Nonlinear Equalization of Hammerstein OFDM Systems. - Xia Hong 001; Sheng Chen 001; Yu Gong; Chris J. Harris (IEEE Trans. Signal Process., 2014)

Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks. - Xia Hong 001; Sheng Chen 001; Chris J. Harris; Emad Khalaf (IEEE Trans. Signal Process., 2014)

Adaptive Nonlinear Equalizer Using a Mixture of Gaussian-Based Online Density Estimator. - Hao Chen 031; Yu Gong; Xia Hong 001; Sheng Chen 001 (IEEE Trans. Veh. Technol., 2014)

A constrained recursive least squares algorithm for adaptive combination of multiple models. - Xia Hong 001; Yu Gong (IJCNN, 2015)

Sparse density estimation on multinomial manifold combining local component analysis. - Xia Hong 001; Junbin Gao (IJCNN, 2015)

Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. - Yifan Fu; Junbin Gao; Xia Hong 001; David Tien (SDM, 2015)

Low Rank Representation on Riemannian Manifold of Square Root Densities. - Yifan Fu; Junbin Gao; Xia Hong 001; David Tien (CoRR, 2015)

l1-norm Penalized Orthogonal Forward Regression. - Xia Hong 001; Sheng Chen 001; Yi Guo 001; Junbin Gao (CoRR, 2015)

Adaptive B-spline neural network based nonlinear equalization for high-order QAM systems with nonlinear transmit high power amplifier. - Sheng Chen 001; Xia Hong 001; Emad Khalaf; Ali Morfeq; Naif D. Alotaibi (Digit. Signal Process., 2015)

Elastic net orthogonal forward regression. - Xia Hong 001; Sheng Chen 001 (Neurocomputing, 2015)

Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. - Xia Hong 001; Sheng Chen 001; Junbin Gao; Chris J. Harris (IEEE Trans. Cybern., 2015)

Sparse Density Estimation on the Multinomial Manifold. - Xia Hong 001; Junbin Gao; Sheng Chen 001; Tanveer A. Zia (IEEE Trans. Neural Networks Learn. Syst., 2015)

Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. - Sheng Chen 001; Xia Hong 001; Emad Khalaf; Fuad E. Alsaadi; Chris J. Harris (IJCNN, 2016)

Manifold optimization for nonnegative coefficient logistic regression. - Xia Hong 001; Junbin Gao (IJCNN, 2016)

A Fast Algorithm to Estimate the Square Root of Probability Density Function. - Xia Hong 001; Junbin Gao (SGAI Conf., 2016)

Sparse density estimator with tunable kernels. - Xia Hong 001; Sheng Chen 001; Victor M. Becerra (Neurocomputing, 2016)

A new adaptive multiple modelling approach for non-linear and non-stationary systems. - Hao Chen 031; Yu Gong; Xia Hong 001 (Int. J. Syst. Sci., 2016)

Degree condition for completely independent spanning trees. - Xia Hong 001; Qinghai Liu (Inf. Process. Lett., 2016)

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. - Yanfeng Sun; Junbin Gao; Xia Hong 001; Bamdev Mishra; Baocai Yin (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A Fast Adaptive Tunable RBF Network For Nonstationary Systems. - Hao Chen 031; Yu Gong; Xia Hong 001; Sheng Chen 001 (IEEE Trans. Cybern., 2016)

Tensor LRR and Sparse Coding-Based Subspace Clustering. - Yifan Fu; Junbin Gao; David Tien; Zhouchen Lin; Xia Hong 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion. - Xia Hong 001; Sheng Chen 001 (Int. J. Autom. Comput., 2017)

l1-norm penalised orthogonal forward regression. - Xia Hong 001; Sheng Chen 001; Yi Guo 001; Junbin Gao (Int. J. Syst. Sci., 2017)

Comparative Performance of Complex-Valued B-Spline and Polynomial Models Applied to Iterative Frequency-Domain Decision Feedback Equalization of Hammerstein Channels. - Sheng Chen 001; Xia Hong 001; Emad Khalaf; Fuad E. Alsaadi; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2017)

Zero-Attracting Recursive Least Squares Algorithms. - Xia Hong 001; Junbin Gao; Sheng Chen 001 (IEEE Trans. Veh. Technol., 2017)

Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier. - Sheng Chen 001; Xia Hong 001; Emad Khalaf; Ali Morfeq; Naif D. Alotaibi; Chris J. Harris (IEEE Trans. Wirel. Commun., 2017)

Sparse least squares support vector regression for nonstationary systems. - Xia Hong 001; Giuseppe Di Fatta; Hao Chen 031; Senlin Wang (IJCNN, 2018)

Functional Locality Preserving Projection for Dimensionality Reduction. - Xin Song; Xinwei Jiang; Junbin Gao; Zhihua Cai; Xia Hong 001 (IJCNN, 2018)

Sparse Least Squares Low Rank Kernel Machines. - Di Xu; Manjing Fang; Xia Hong 001; Junbin Gao (ICONIP (2), 2019)

Understanding Structure of Concurrent Actions. - Perusha Moodley; Benjamin Rosman; Xia Hong 001 (SGAI Conf., 2019)

Coupling Matrix Manifolds and Their Applications in Optimal Transport. - Dai Shi; Junbin Gao; Xia Hong 001; S. T. Boris Choy; Zhiyong Wang 001 (CoRR, 2019)

Simplex basis function based sparse least squares support vector regression. - Xia Hong 001; Richard J. Mitchell 001; Giuseppe Di Fatta (Neurocomputing, 2019)

An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring. - Jingxin Zhang 002; Hao Chen 031; Songhang Chen; Xia Hong 001 (IEEE Trans. Cybern., 2019)

Nonlinear Logistic Regression Model Based On Simplex Basis Function. - Xia Hong 001; Hong Wei; Junbin Gao (IJCNN, 2020)

Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering. - Shadi Alamoudi; Xia Hong 001; Hong Wei (IJCNN, 2020)

Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. - Jingxin Zhang 002; Maoyin Chen; Hao Chen 031; Xia Hong 001; Donghua Zhou (CoRR, 2020)

Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. - Xia Hong 001; Junbin Gao; Sheng Chen 001 (J. Frankl. Inst., 2020)

Estimating the square root of probability density function on Riemannian manifold. - Xia Hong 001; Junbin Gao (Expert Syst. J. Knowl. Eng., 2021)

Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. - Jingxin Zhang 002; Maoyin Chen; Xia Hong 001 (Neurocomputing, 2021)

Parameter tracking of time-varying Hammerstein-Wiener systems. - Feng Yu; Xia Hong 001 (Int. J. Syst. Sci., 2021)

Coupling matrix manifolds assisted optimization for optimal transport problems. - Dai Shi; Junbin Gao; Xia Hong 001; S. T. Boris Choy; Zhiyong Wang 001 (Mach. Learn., 2021)

Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space. - Shadi Al Amoudi; Xia Hong 001; Hong Wei (UKCI, 2022)

Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen; Xia Hong 001 (CoRR, 2022)

ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. - Jamie Morris; Zehao Liu; Huizhi Liang; Sidhartha Nagala; Xia Hong 001 (CIKM, 2023)

Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction. - Emmanuel Osei-Brefo; Richard J. Mitchell 001; Xia Hong 001 (SGAI Conf., 2023)

Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. - Xia Hong 001; Junbin Gao; Hong Wei; James Xiao; Richard J. Mitchell 001 (Neurocomputing, 2023)

Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra-Supercritical Thermal Power Plant. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen; Xia Hong 001 (IEEE Trans Autom. Sci. Eng., 2023)

Monitoring Multimode Nonlinear Dynamic Processes: An Efficient Sparse Dynamic Approach With Continual Learning Ability. - Jingxin Zhang 002; Maoyin Chen; Xia Hong 001 (IEEE Trans. Ind. Informatics, 2023)

Deep Learning in Automated Worm Identification and Tracking for C. Elegan Mating Behaviour Analysis. - Chukwuma Hilary Akpu; Hong Wei; Xia Hong 001 (ICPR (3), 2024)

A Semi-Supervised Clustering Approach Using Nonlinear Canonical Correlation Analysis with t-SNE. - Xia Hong 001; James Xiao; Hong Wei (IJCNN, 2024)

Learning a Strategy for Preference Elicitation in Conversational Recommender Systems. - Aleksandra Makarova; Muhammad Shahzad; Xia Hong 001; Martin Lester 001 (IJCNN, 2024)

Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction. - Alejandro Rodríguez Domínguez; Muhammad Shahzad; Xia Hong 001 (SGAI Conf. (1), 2024)

Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE. - Hong Wei; James Xiao; Yichao Zhang; Xia Hong 001 (CoRR, 2024)

Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces. - Perusha Moodley; Pramod Kaushik; Dhillu Thambi; Mark Trovinger; Praveen Paruchuri; Xia Hong 001; Benjamin Rosman (CoRR, 2024)

Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes. - Jingxin Zhang 002; Donghua Zhou; Maoyin Chen; Xia Hong 001 (IEEE Trans Autom. Sci. Eng., 2024)

Multi-hypothesis prediction for portfolio optimization: A structured ensemble learning approach to risk diversification. - Alejandro Rodríguez Domínguez; Muhammad Shahzad; Xia Hong 001 (Expert Syst. Appl., 2025)

An efficient multimodal attentional principal component analysis for continual learning-based dynamic process monitoring. - Jingxin Zhang 002; Haikun Wei; Kanjian Zhang; James Xiao; Xia Hong 001 (Neurocomputing, 2025)

Multimodal Continual Learning for Process Monitoring: A Novel Weighted Canonical Correlation Analysis With Attention Mechanism. - Jingxin Zhang 002; James Xiao; Maoyin Chen; Xia Hong 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)