Xia Hong
Orcid: 0000-0002-6832-2298Affiliations:
- University of Reading, UK
According to our database1,
Xia Hong
authored at least 147 papers
between 1998 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes.
IEEE Trans Autom. Sci. Eng., January, 2024
Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE.
CoRR, 2024
2023
Monitoring Multimode Nonlinear Dynamic Processes: An Efficient Sparse Dynamic Approach With Continual Learning Ability.
IEEE Trans. Ind. Informatics, July, 2023
Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra-Supercritical Thermal Power Plant.
IEEE Trans Autom. Sci. Eng., 2023
Two-step scalable spectral clustering algorithm using landmarks and probability density estimation.
Neurocomputing, 2023
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction.
CoRR, 2023
Proceedings of the Artificial Intelligence XL, 2023
ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring.
CoRR, 2022
2021
Mach. Learn., 2021
Int. J. Syst. Sci., 2021
Neurocomputing, 2021
Expert Syst. J. Knowl. Eng., 2021
2020
Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling.
J. Frankl. Inst., 2020
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation.
CoRR, 2020
Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring.
IEEE Trans. Cybern., 2019
Neurocomputing, 2019
Proceedings of the Artificial Intelligence XXXVI, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier.
IEEE Trans. Wirel. Commun., 2017
Comparative Performance of Complex-Valued B-Spline and Polynomial Models Applied to Iterative Frequency-Domain Decision Feedback Equalization of Hammerstein Channels.
IEEE Trans. Neural Networks Learn. Syst., 2017
Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion.
Int. J. Autom. Comput., 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Cybern., 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Inf. Process. Lett., 2016
A new adaptive multiple modelling approach for non-linear and non-stationary systems.
Int. J. Syst. Sci., 2016
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization.
IEEE Trans. Cybern., 2015
Adaptive B-spline neural network based nonlinear equalization for high-order QAM systems with nonlinear transmit high power amplifier.
Digit. Signal Process., 2015
Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Sparse density estimation on multinomial manifold combining local component analysis.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
A constrained recursive least squares algorithm for adaptive combination of multiple models.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Adaptive Nonlinear Equalizer Using a Mixture of Gaussian-Based Online Density Estimator.
IEEE Trans. Veh. Technol., 2014
Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks.
IEEE Trans. Signal Process., 2014
IEEE Trans. Signal Process., 2014
Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems.
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Fuzzy Syst., 2014
Neurocomputing, 2014
A radial basis function network classifier to maximise leave-one-out mutual information.
Appl. Soft Comput., 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm.
IEEE Trans. Circuits Syst. I Regul. Pap., 2013
System identification of Wiener systems with B-spline functions using De Boor recursion.
Int. J. Syst. Sci., 2013
Neurocomputing, 2013
Sparse probability density function estimation using the minimum integrated square error.
Neurocomputing, 2013
Proceedings of the 18th International Conference on Digital Signal Processing, 2013
Proceedings of the 18th International Conference on Digital Signal Processing, 2013
2012
Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm.
Int. J. Syst. Sci., 2012
Int. J. Syst. Sci., 2012
The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization.
Neurocomputing, 2012
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Probability density function estimation based over-sampling for imbalanced two-class problems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
2011
IEEE Trans. Neural Networks, 2011
Neurocomputing, 2011
B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
A Wiener model for memory high power amplifiers using B-spline function approximation.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence.
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression.
IEEE Trans. Syst. Man Cybern. Part B, 2010
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling.
IEEE Trans. Evol. Comput., 2010
Regression based D-optimality experimental design for sparse kernel density estimation.
Neurocomputing, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
OFDM joint data detection and phase noise cancellation for constant modulus modulations.
IEEE Trans. Signal Process., 2009
IEEE Trans. Syst. Man Cybern. Part B, 2009
Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection.
IEEE Trans. Syst. Man Cybern. Part B, 2009
OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error.
Signal Process., 2009
Neurocomputing, 2009
Non-linear system identification using particle swarm optimisation tuned radial basis function models.
Int. J. Bio Inspired Comput., 2009
A tunable radial basis function model for nonlinear system identification using particle swarm optimisation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
IEEE Trans. Neural Networks, 2008
IEEE Trans. Neural Networks, 2008
Int. J. Syst. Sci., 2008
A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate.
Int. J. Syst. Sci., 2008
Neurocomputing, 2008
Neurocomputing, 2008
Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification.
Neurocomputing, 2008
Int. J. Autom. Comput., 2008
Fully complex-valued radial basis function networks for orthogonal least squares regression.
Proceedings of the International Joint Conference on Neural Networks, 2008
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of IEEE International Conference on Communications, 2008
2007
IEEE Trans. Neural Networks, 2007
Backward elimination model construction for regression and classification using leave-one-out criteria.
Int. J. Syst. Sci., 2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007
2006
A fast identification algorithm for box-cox transformation based radial basis function neural network.
IEEE Trans. Neural Networks, 2006
Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure.
IEEE Trans. Neural Networks, 2006
Int. J. Model. Identif. Control., 2006
Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate.
Proceedings of the International Joint Conference on Neural Networks, 2006
Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate.
Proceedings of the Intelligent Computing, 2006
2005
IEEE Trans. Syst. Man Cybern. Part B, 2005
IEEE Trans. Syst. Man Cybern. Part B, 2005
IEEE Trans. Control. Syst. Technol., 2005
Nonlinear channel equalizer design using directional evolutionary multi-objective optimization.
Int. J. Syst. Sci., 2005
Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes.
Proceedings of the Advances in Intelligent Computing, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
2004
Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality.
IEEE Trans. Syst. Man Cybern. Part B, 2004
Sparse modeling using orthogonal forward regression with PRESS statistic and regularization.
IEEE Trans. Syst. Man Cybern. Part B, 2004
Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization.
IEEE Trans. Syst. Man Cybern. Part B, 2004
Automatic Kernel Regression Modelling Using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares.
Int. J. Neural Syst., 2004
Int. J. Hybrid Intell. Syst., 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
On Improvement of Classification Accuracy for Stochastic Discrimination - Multi-class Classification.
Proceedings of the 2nd International Conference Computing, 2004
2003
IEEE Trans. Syst. Man Cybern. Part A, 2003
A robust nonlinear identification algorithm using PRESS statistic and forward regression.
IEEE Trans. Neural Networks, 2003
A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition.
IEEE Trans. Fuzzy Syst., 2003
Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design.
IEEE Trans. Autom. Control., 2003
Experimental design and model construction algorithms for radial basis function networks.
Int. J. Syst. Sci., 2003
2002
Nonlinear model structure design and construction using orthogonal least squares and D-optimality design.
IEEE Trans. Neural Networks, 2002
A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control.
Appl. Intell., 2002
Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach
Advanced information processing, Springer, ISBN: 3-540-42686-8, 2002
2001
Nonlinear model structure detection using optimum experimental design and orthogonal least squares.
IEEE Trans. Neural Networks, 2001
Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks.
IEEE Trans. Fuzzy Syst., 2001
2000
Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition.
IEEE Trans. Neural Networks Learn. Syst., 2000
1998
Neural Networks, 1998