Xia Hong - RankMe

161 papers A* 1A 2B 25C 2Misc 1Journal 105Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An efficient multimodal attentional principal component analysis for continual learning-based dynamic process monitoring. Neurocomputing Jingxin Zhang, Haikun Wei, Kanjian Zhang, James Xiao, Xia Hong
2025	B	`conf`	M-SAT: Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Actions. IJCNN Perusha Moodley, Dhillu Thambi, Mark Trovinger, Pramod Kaushik, Praveen Paruchuri, Xia Hong, Benjamin Rosman
2025	J	`jnl`	Multi-hypothesis prediction for portfolio optimization: A structured ensemble learning approach to risk diversification. Expert Syst. Appl. Alejandro Rodríguez Domínguez, Muhammad Shahzad, Xia Hong
2025	J	`jnl`	Multimodal Continual Learning for Process Monitoring: A Novel Weighted Canonical Correlation Analysis With Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. Jingxin Zhang, James Xiao, Maoyin Chen, Xia Hong
2025	J	`jnl`	Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity. CoRR Alejandro Rodríguez Domínguez, Muhammad Shahzad, Xia Hong
2024	B	`conf`	A Semi-Supervised Clustering Approach Using Nonlinear Canonical Correlation Analysis with t-SNE. IJCNN Xia Hong, James Xiao, Hong Wei
2024	J	`jnl`	Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes. IEEE Trans Autom. Sci. Eng. Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
2024	—	`conf`	Deep Learning in Automated Worm Identification and Tracking for C. Elegan Mating Behaviour Analysis. ICPR (3) Chukwuma Hilary Akpu, Hong Wei, Xia Hong
2024	B	`conf`	Learning a Strategy for Preference Elicitation in Conversational Recommender Systems. IJCNN Aleksandra Makarova, Muhammad Shahzad, Xia Hong, Martin Lester
2024	J	`jnl`	Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces. CoRR Perusha Moodley, Pramod Kaushik, Dhillu Thambi, Mark Trovinger, Praveen Paruchuri, Xia Hong, Benjamin Rosman
2024	J	`jnl`	Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE. CoRR Hong Wei, James Xiao, Yichao Zhang, Xia Hong
2024	—	`conf`	Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction. SGAI Conf. (1) Alejandro Rodríguez Domínguez, Muhammad Shahzad, Xia Hong
2023	J	`jnl`	Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra-Supercritical Thermal Power Plant. IEEE Trans Autom. Sci. Eng. Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
2023	—	`conf`	Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction. SGAI Conf. Emmanuel Osei-Brefo, Richard J. Mitchell, Xia Hong
2023	J	`jnl`	Monitoring Multimode Nonlinear Dynamic Processes: An Efficient Sparse Dynamic Approach With Continual Learning Ability. IEEE Trans. Ind. Informatics Jingxin Zhang, Maoyin Chen, Xia Hong
2023	J	`jnl`	Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction. CoRR Alejandro Rodríguez Domínguez, Muhammad Shahzad, Xia Hong
2023	A	`conf`	ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. CIKM Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong
2023	J	`jnl`	Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing Xia Hong, Junbin Gao, Hong Wei, James Xiao, Richard J. Mitchell
2022	J	`jnl`	Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring. CoRR Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
2022	—	`conf`	Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space. UKCI Shadi Al Amoudi, Xia Hong, Hong Wei
2021	J	`jnl`	Coupling matrix manifolds assisted optimization for optimal transport problems. Mach. Learn. Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
2021	J	`jnl`	Estimating the square root of probability density function on Riemannian manifold. Expert Syst. J. Knowl. Eng. Xia Hong, Junbin Gao
2021	J	`jnl`	Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing Jingxin Zhang, Maoyin Chen, Xia Hong
2021	J	`jnl`	Parameter tracking of time-varying Hammerstein-Wiener systems. Int. J. Syst. Sci. Feng Yu, Xia Hong
2020	J	`jnl`	An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. CoRR Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong
2020	B	`conf`	Nonlinear Logistic Regression Model Based On Simplex Basis Function. IJCNN Xia Hong, Hong Wei, Junbin Gao
2020	B	`conf`	Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering. IJCNN Shadi Alamoudi, Xia Hong, Hong Wei
2020	J	`jnl`	Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. CoRR Jingxin Zhang, Maoyin Chen, Hao Chen, Xia Hong, Donghua Zhou
2020	J	`jnl`	Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. J. Frankl. Inst. Xia Hong, Junbin Gao, Sheng Chen
2019	J	`jnl`	An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring. IEEE Trans. Cybern. Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong
2019	J	`jnl`	Coupling Matrix Manifolds and Their Applications in Optimal Transport. CoRR Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
2019	J	`jnl`	Simplex basis function based sparse least squares support vector regression. Neurocomputing Xia Hong, Richard J. Mitchell, Giuseppe Di Fatta
2019	—	`conf`	Sparse Least Squares Low Rank Kernel Machines. ICONIP (2) Di Xu, Manjing Fang, Xia Hong, Junbin Gao
2019	J	`jnl`	Sparse Least Squares Low Rank Kernel Machines. CoRR Manjing Fang, Di Xu, Xia Hong, Junbin Gao
2019	—	`conf`	Understanding Structure of Concurrent Actions. SGAI Conf. Perusha Moodley, Benjamin Rosman, Xia Hong
2018	B	`conf`	Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong
2018	B	`conf`	Sparse least squares support vector regression for nonstationary systems. IJCNN Xia Hong, Giuseppe Di Fatta, Hao Chen, Senlin Wang
2017	J	`jnl`	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. Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris
2017	J	`jnl`	Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion. Int. J. Autom. Comput. Xia Hong, Sheng Chen
2017	J	`jnl`	Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier. IEEE Trans. Wirel. Commun. Sheng Chen, Xia Hong, Emad Khalaf, Ali Morfeq, Naif D. Alotaibi, Chris J. Harris
2017	J	`jnl`	Zero-Attracting Recursive Least Squares Algorithms. IEEE Trans. Veh. Technol. Xia Hong, Junbin Gao, Sheng Chen
2017	J	`jnl`	l1-norm penalised orthogonal forward regression. Int. J. Syst. Sci. Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
2016	J	`jnl`	A Fast Adaptive Tunable RBF Network For Nonstationary Systems. IEEE Trans. Cybern. Hao Chen, Yu Gong, Xia Hong, Sheng Chen
2016	—	`conf`	A Fast Algorithm to Estimate the Square Root of Probability Density Function. SGAI Conf. Xia Hong, Junbin Gao
2016	J	`jnl`	A new adaptive multiple modelling approach for non-linear and non-stationary systems. Int. J. Syst. Sci. Hao Chen, Yu Gong, Xia Hong
2016	B	`conf`	Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. IJCNN Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris
2016	J	`jnl`	Degree condition for completely independent spanning trees. Inf. Process. Lett. Xia Hong, Qinghai Liu
2016	J	`jnl`	Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin
2016	B	`conf`	Manifold optimization for nonnegative coefficient logistic regression. IJCNN Xia Hong, Junbin Gao
2016	J	`jnl`	Sparse density estimator with tunable kernels. Neurocomputing Xia Hong, Sheng Chen, Victor M. Becerra
2016	J	`jnl`	Tensor LRR and Sparse Coding-Based Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin, Xia Hong
2015	B	`conf`	A constrained recursive least squares algorithm for adaptive combination of multiple models. IJCNN Xia Hong, Yu Gong
2015	J	`jnl`	Adaptive B-spline neural network based nonlinear equalization for high-order QAM systems with nonlinear transmit high power amplifier. Digit. Signal Process. Sheng Chen, Xia Hong, Emad Khalaf, Ali Morfeq, Naif D. Alotaibi
2015	J	`jnl`	Elastic net orthogonal forward regression. Neurocomputing Xia Hong, Sheng Chen
2015	J	`jnl`	Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. CoRR Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin
2015	J	`jnl`	Low Rank Representation on Riemannian Manifold of Square Root Densities. CoRR Yifan Fu, Junbin Gao, Xia Hong, David Tien
2015	A	`conf`	Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. SDM Yifan Fu, Junbin Gao, Xia Hong, David Tien
2015	J	`jnl`	Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. IEEE Trans. Cybern. Xia Hong, Sheng Chen, Junbin Gao, Chris J. Harris
2015	J	`jnl`	Sparse Density Estimation on the Multinomial Manifold. IEEE Trans. Neural Networks Learn. Syst. Xia Hong, Junbin Gao, Sheng Chen, Tanveer A. Zia
2015	B	`conf`	Sparse density estimation on multinomial manifold combining local component analysis. IJCNN Xia Hong, Junbin Gao
2015	J	`jnl`	l1-norm Penalized Orthogonal Forward Regression. CoRR Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
2014	J	`jnl`	A radial basis function network classifier to maximise leave-one-out mutual information. Appl. Soft Comput. Xia Hong, Sheng Chen, Abdulrohman Qatawneh, Khaled Daqrouq, Muntasir Sheikh, Ali Morfeq
2014	J	`jnl`	A unified neurofuzzy model for classification. Int. J. Syst. Sci. Ming Gao, Xia Hong, Chris J. Harris
2014	J	`jnl`	Adaptive Nonlinear Equalizer Using a Mixture of Gaussian-Based Online Density Estimator. IEEE Trans. Veh. Technol. Hao Chen, Yu Gong, Xia Hong, Sheng Chen
2014	B	`conf`	B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. IJCNN Xia Hong, Sheng Chen, Chris J. Harris
2014	J	`jnl`	Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. IEEE Trans. Neural Networks Learn. Syst. Sheng Chen, Xia Hong, Junbin Gao, Chris J. Harris
2014	J	`jnl`	Construction of Neurofuzzy Models For Imbalanced Data Classification. IEEE Trans. Fuzzy Syst. Ming Gao, Xia Hong, Chris J. Harris
2014	B	`conf`	Dimensionality reduction assisted tensor clustering. IJCNN Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris
2014	J	`jnl`	Fast identification algorithms for Gaussian process model. Neurocomputing Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris
2014	—	`conf`	Gaussian Processes Autoencoder for Dimensionality Reduction. PAKDD (2) Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai
2014	B	`conf`	Joint multiple dictionary learning for Tensor sparse coding. IJCNN Yifan Fu, Junbin Gao, Yanfeng Sun, Xia Hong
2014	J	`jnl`	Nonlinear Equalization of Hammerstein OFDM Systems. IEEE Trans. Signal Process. Xia Hong, Sheng Chen, Yu Gong, Chris J. Harris
2014	B	`conf`	On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2014	J	`jnl`	PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. Neurocomputing Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf
2014	J	`jnl`	Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks. IEEE Trans. Signal Process. Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf
2014	A*	`conf`	Tensor Regression Based on Linked Multiway Parameter Analysis. ICDM Yifan Fu, Junbin Gao, Xia Hong, David Tien
2013	—	`conf`	A fast algorithm for sparse probability density function construction. DSP Xia Hong, Sheng Chen
2013	J	`jnl`	Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm. IEEE Trans. Circuits Syst. I Regul. Pap. Sheng Chen, Xia Hong, Yu Gong, Chris J. Harris
2013	J	`jnl`	Elastic-Net Prefiltering for Two-Class Classification. IEEE Trans. Cybern. Xia Hong, Sheng Chen, Chris J. Harris
2013	J	`jnl`	Online Modeling With Tunable RBF Network. IEEE Trans. Cybern. Hao Chen, Yu Gong, Xia Hong
2013	J	`jnl`	Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing Xia Hong, Junbin Gao, Sheng Chen, Chris J. Harris
2013	—	`conf`	Sparse model construction using coordinate descent optimization. DSP Xia Hong, Yi Guo, Sheng Chen, Junbin Gao
2013	J	`jnl`	Sparse probability density function estimation using the minimum integrated square error. Neurocomputing Xia Hong, Sheng Chen, Abdulrohman Qatawneh, Khaled Daqrouq, Muntasir Sheikh, Ali Morfeq
2013	J	`jnl`	System identification of Wiener systems with B-spline functions using De Boor recursion. Int. J. Syst. Sci. Xia Hong, Richard J. Mitchell, Sheng Chen
2012	—	`conf`	A neurofuzzy classifier for two class problems. UKCI Ming Gao, Xia Hong, Chris J. Harris
2012	—	`conf`	B-Spline Neural Networks Based PID Controller for Hammerstein Systems. ICIC (3) Xia Hong, Serdar Iplikci, Sheng Chen, Kevin Warwick
2012	J	`jnl`	Bio-inspired computing and applications (LSMS-ICSEE, 2010). Neurocomputing Kang Li, Xia Hong, Guido Maione, Qun Niu
2012	—	`conf`	Constrained Grouped Sparsity. Australasian Conference on Artificial Intelligence Yi Guo, Junbin Gao, Xia Hong
2012	J	`jnl`	Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm. Int. J. Syst. Sci. Xia Hong, Richard J. Mitchell, Sheng Chen
2012	B	`conf`	Modelling and inverting complex-valued wiener systems. IJCNN Xia Hong, Sheng Chen, Chris J. Harris
2012	—	`conf`	PSO Assisted NURB Neural Network Identification. ICIC (1) Xia Hong, Sheng Chen
2012	B	`conf`	Probability density function estimation based over-sampling for imbalanced two-class problems. IJCNN Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
2012	J	`jnl`	The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization. Neurocomputing Xia Hong, Sheng Chen
2012	J	`jnl`	Using zero-norm constraint for sparse probability density function estimation. Int. J. Syst. Sci. Xia Hong, Sheng Chen, Chris J. Harris
2011	—	`conf`	A Wiener model for memory high power amplifiers using B-spline function approximation. DSP Xia Hong, Yu Gong, Sheng Chen
2011	J	`jnl`	A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems. Neurocomputing Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
2011	Misc	`conf`	Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence. ICASSP Hao Chen, Yu Gong, Xia Hong
2011	B	`conf`	B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. IJCNN Xia Hong, Yu Gong, Sheng Chen
2011	J	`jnl`	Grey-box radial basis function modelling. Neurocomputing Sheng Chen, Xia Hong, Chris J. Harris
2011	J	`jnl`	Modeling of Complex-Valued Wiener Systems Using B-Spline Neural Network. IEEE Trans. Neural Networks Xia Hong, Sheng Chen
2011	B	`conf`	On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. IJCNN Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
2010	J	`jnl`	Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. IEEE Trans. Evol. Comput. Sheng Chen, Xia Hong, Chris J. Harris
2010	J	`jnl`	Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression. IEEE Trans. Syst. Man Cybern. Part B Sheng Chen, Xia Hong, Chris J. Harris
2010	B	`conf`	Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2010	J	`jnl`	Regression based D-optimality experimental design for sparse kernel density estimation. Neurocomputing Sheng Chen, Xia Hong, Chris J. Harris
2010	B	`conf`	Sparse kernel density estimation technique based on zero-norm constraint. IJCNN Xia Hong, Sheng Chen, Chris J. Harris
2009	J	`jnl`	A New RBF Neural Network With Boundary Value Constraints. IEEE Trans. Syst. Man Cybern. Part B Xia Hong, Sheng Chen
2009	—	`conf`	A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. CDC Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
2009	J	`jnl`	Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection. IEEE Trans. Syst. Man Cybern. Part B Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
2009	J	`jnl`	Non-linear system identification using particle swarm optimisation tuned radial basis function models. Int. J. Bio Inspired Comput. Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
2009	J	`jnl`	OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error. Signal Process. Yu Gong, Xia Hong
2009	J	`jnl`	OFDM joint data detection and phase noise cancellation for constant modulus modulations. IEEE Trans. Signal Process. Yu Gong, Xia Hong
2009	J	`jnl`	Orthogonal-least-squares regression: A unified approach for data modelling. Neurocomputing Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
2008	J	`jnl`	A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. IEEE Trans. Neural Networks Xia Hong, Sheng Chen, Chris J. Harris
2008	—	`conf`	A New Algorithm for OFDM Joint Data Detection and Phase Noise Cancellation. ICC Yu Gong, Xia Hong
2008	J	`jnl`	A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. Int. J. Syst. Sci. Xia Hong, Sheng Chen, Chris J. Harris
2008	J	`jnl`	A minimum approximate-BER beamforming approach for PSK modulated wireless systems. Int. J. Autom. Comput. Xia Hong, Sheng Chen
2008	J	`jnl`	A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. IEEE Trans. Neural Networks Xia Hong, Sheng Chen, Chris J. Harris
2008	J	`jnl`	An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing Sheng Chen, Xia Hong, Chris J. Harris
2008	B	`conf`	Fully complex-valued radial basis function networks for orthogonal least squares regression. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2008	J	`jnl`	Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification. Neurocomputing Sheng Chen, Xia Hong, Chris J. Harris, Lajos Hanzo
2008	J	`jnl`	Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007). Neurocomputing Kang Li, Xia Hong, George W. Irwin
2008	J	`jnl`	Model selection approaches for non-linear system identification: a review. Int. J. Syst. Sci. Xia Hong, Richard J. Mitchell, Sheng Chen, Chris J. Harris, Kang Li, George W. Irwin
2008	B	`conf`	Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2007	—	`conf`	A Forward Constrained Selection Algorithm for Probabilistic Neural Network. ISNN (2) Ning Zong, Xia Hong
2007	J	`jnl`	A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. IEEE Trans. Neural Networks Xia Hong, Sheng Chen, Chris J. Harris
2007	—	`conf`	A Multi-Level Probabilistic Neural Network. ISNN (2) Ning Zong, Xia Hong
2007	—	`conf`	A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression. ICIC (3) Xia Hong, Sheng Chen, Chris J. Harris
2007	J	`jnl`	Backward elimination model construction for regression and classification using leave-one-out criteria. Int. J. Syst. Sci. Xia Hong, Richard J. Mitchell
2007	B	`conf`	Probability Density Function Estimation Using Orthogonal Forward Regression. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2007	C	`conf`	Sparse Kernel Modelling: A Unified Approach. IDEAL Sheng Chen, Xia Hong, Chris J. Harris
2006	J	`jnl`	A fast identification algorithm for box-cox transformation based radial basis function neural network. IEEE Trans. Neural Networks Xia Hong
2006	B	`conf`	Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. IJCNN Sheng Chen, Chris J. Harris, Xia Hong
2006	—	`conf`	Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate. ICIC (1) Xia Hong, Sheng Chen, Chris J. Harris
2006	J	`jnl`	Finding the point on Bezier curves with the normal vector passing an external point. Int. J. Model. Identif. Control. Xia Hong, William S. Harwin
2006	J	`jnl`	Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. IEEE Trans. Neural Networks Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris
2005	J	`jnl`	Identification of nonlinear systems using generalized kernel models. IEEE Trans. Control. Syst. Technol. Sheng Chen, Xia Hong, Chris J. Harris, Xunxian Wang
2005	J	`jnl`	M-estimator and D-optimality model construction using orthogonal forward regression. IEEE Trans. Syst. Man Cybern. Part B Xia Hong, Sheng Chen
2005	J	`jnl`	Nonlinear channel equalizer design using directional evolutionary multi-objective optimization. Int. J. Syst. Sci. Ning Zong, Xia Hong
2005	J	`jnl`	On improvement of classification accuracy for stochastic discrimination. IEEE Trans. Syst. Man Cybern. Part B Ning Zong, Xia Hong
2005	—	`conf`	Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. ICIC (1) Sheng Chen, Xia Hong, Chris J. Harris
2005	—	`conf`	Sparse Generalized Kernel Modeling for Nonlinear Systems. CDC/ECC Sheng Chen, Xia Hong, Xunxian Wang, Christopher J. Harris
2004	J	`jnl`	Automatic Kernel Regression Modelling Using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares. Int. J. Neural Syst. Xia Hong, Sheng Chen, Paul M. Sharkey
2004	J	`jnl`	Backward Elimination Methods for Associative Memory Network Pruning. Int. J. Hybrid Intell. Syst. Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen
2004	C	`conf`	Kernel Density Construction Using Orthogonal Forward Regression. IDEAL Sheng Chen, Xia Hong, Chris J. Harris
2004	—	`conf`	On Improvement of Classification Accuracy for Stochastic Discrimination - Multi-class Classification. CCCT (2) Ning Zong, Xia Hong
2004	J	`jnl`	Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality. IEEE Trans. Syst. Man Cybern. Part B Xia Hong, Chris J. Harris, Sheng Chen
2004	J	`jnl`	Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Trans. Syst. Man Cybern. Part B Sheng Chen, Xia Hong, Chris J. Harris
2004	J	`jnl`	Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Trans. Syst. Man Cybern. Part B Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey
2003	J	`jnl`	A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition. IEEE Trans. Fuzzy Syst. Xia Hong, Chris J. Harris
2003	J	`jnl`	A robust nonlinear identification algorithm using PRESS statistic and forward regression. IEEE Trans. Neural Networks Xia Hong, Paul M. Sharkey, Kevin Warwick
2003	J	`jnl`	Experimental design and model construction algorithms for radial basis function networks. Int. J. Syst. Sci. Xia Hong, Chris J. Harris
2003	J	`jnl`	Robust nonlinear model identification methods using forward regression. IEEE Trans. Syst. Man Cybern. Part A Xia Hong, Chris J. Harris, Sheng Chen, Paul M. Sharkey
2003	J	`jnl`	Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design. IEEE Trans. Autom. Control. Sheng Chen, Xia Hong, Chris J. Harris
2002	J	`jnl`	A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. Appl. Intell. Xia Hong, Chris J. Harris
2002	—	`book`	Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach Chris J. Harris, Xia Hong, Qiang Gan
2002	J	`jnl`	Nonlinear model structure design and construction using orthogonal least squares and D-optimality design. IEEE Trans. Neural Networks Xia Hong, Chris J. Harris
2001	J	`jnl`	Nonlinear model structure detection using optimum experimental design and orthogonal least squares. IEEE Trans. Neural Networks Xia Hong, Chris J. Harris
2001	J	`jnl`	Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. IEEE Trans. Fuzzy Syst. Xia Hong, Chris J. Harris
2000	J	`jnl`	Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition. IEEE Trans. Neural Networks Learn. Syst. Xia Hong, Christopher J. Harris
1998	J	`jnl`	Dual-orthogonal radial basis function networks for nonlinear time series prediction. Neural Networks Stephen A. Billings, Xia Hong