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ORCIDXia Hong 0001
Person information
- affiliation: University of Reading, UK
Other persons with the same name
- Xia Hong 0002 — North China Electric Power University, Beijing, China
- Xia Hong 0003 — Chongqing University of Posts and Telecommunications, Chongqing, China
- Xia Hong 0004 — University of California Berkeley, Berkeley, CA, USA
- Xia Hong 0005 — Luoyang Normal University, Luoyang, China
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2020 – today
- 2025
[j91]Jingxin Zhang
, Haikun Wei, Kanjian Zhang, James Xiao, Xia Hong:
An efficient multimodal attentional principal component analysis for continual learning-based dynamic process monitoring. Neurocomputing 611: 128642 (2025)- 2024
- [j90]Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong:
Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes. IEEE Trans Autom. Sci. Eng. 21(1): 733-745 (2024) - [c52]Xia Hong, James Xiao, Hong Wei:
A Semi-Supervised Clustering Approach Using Nonlinear Canonical Correlation Analysis with t-SNE. IJCNN 2024: 1-7 - [c51]Aleksandra Makarova, Muhammad Shahzad, Xia Hong, Martin Lester:
Learning a Strategy for Preference Elicitation in Conversational Recommender Systems. IJCNN 2024: 1-8 - [i11]Hong Wei, James Xiao, Yichao Zhang, Xia Hong:
Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE. CoRR abs/2401.12164 (2024) - [i10]Perusha Moodley, Pramod Kaushik, Dhillu Thambi, Mark Trovinger, Praveen Paruchuri, Xia Hong, Benjamin Rosman:
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces. CoRR abs/2407.01310 (2024) - 2023
- [j89]Xia Hong, Junbin Gao, Hong Wei, James Xiao, Richard J. Mitchell:
Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing 519: 173-186 (2023) - [j88]Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong:
Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra-Supercritical Thermal Power Plant. IEEE Trans Autom. Sci. Eng. 20(1): 137-150 (2023) - [j87]Jingxin Zhang, Maoyin Chen, Xia Hong:
Monitoring Multimode Nonlinear Dynamic Processes: An Efficient Sparse Dynamic Approach With Continual Learning Ability. IEEE Trans. Ind. Informatics 19(7): 8029-8038 (2023) - [c50]Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong:
ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. CIKM 2023: 5371-5375 - [c49]Emmanuel Osei-Brefo, Richard J. Mitchell, Xia Hong:
Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction. SGAI Conf. 2023: 350-362 - [i9]Alejandro Rodríguez Domínguez, Muhammad Shahzad, Xia Hong:
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction. CoRR abs/2309.00781 (2023) - 2022
- [c48]Shadi Al Amoudi, Xia Hong, Hong Wei:
Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space. UKCI 2022: 117-128 - [i8]Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong:
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring. CoRR abs/2202.11295 (2022) - 2021
- [j86]Xia Hong, Junbin Gao:
Estimating the square root of probability density function on Riemannian manifold. Expert Syst. J. Knowl. Eng. 38(7) (2021) - [j85]Jingxin Zhang, Maoyin Chen, Xia Hong:
Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing 458: 319-326 (2021) - [j84]Feng Yu, Xia Hong:
Parameter tracking of time-varying Hammerstein-Wiener systems. Int. J. Syst. Sci. 52(16): 3478-3492 (2021) - [j83]Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang:
Coupling matrix manifolds assisted optimization for optimal transport problems. Mach. Learn. 110(3): 533-558 (2021) - 2020
- [j82]Xia Hong, Junbin Gao, Sheng Chen:
Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. J. Frankl. Inst. 357(9): 5680-5697 (2020) - [c47]Xia Hong, Hong Wei, Junbin Gao:
Nonlinear Logistic Regression Model Based On Simplex Basis Function. IJCNN 2020: 1-8 - [c46]Shadi Alamoudi, Xia Hong, Hong Wei:
Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering. IJCNN 2020: 1-8 - [i7]Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong:
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. CoRR abs/2012.06830 (2020) - [i6]Jingxin Zhang, Maoyin Chen, Hao Chen, Xia Hong, Donghua Zhou:
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. CoRR abs/2012.07021 (2020)
2010 – 2019
- 2019
- [j81]Xia Hong, Richard J. Mitchell, Giuseppe Di Fatta:
Simplex basis function based sparse least squares support vector regression. Neurocomputing 330: 394-402 (2019) - [j80]Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong:
An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring. IEEE Trans. Cybern. 49(1): 198-210 (2019) - [c45]Di Xu, Manjing Fang, Xia Hong, Junbin Gao:
Sparse Least Squares Low Rank Kernel Machines. ICONIP (2) 2019: 395-406 - [c44]Perusha Moodley, Benjamin Rosman, Xia Hong:
Understanding Structure of Concurrent Actions. SGAI Conf. 2019: 78-90 - [i5]Manjing Fang, Di Xu, Xia Hong, Junbin Gao:
Sparse Least Squares Low Rank Kernel Machines. CoRR abs/1901.10098 (2019) - [i4]Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang:
Coupling Matrix Manifolds and Their Applications in Optimal Transport. CoRR abs/1911.06905 (2019) - 2018
- [c43]Xia Hong, Giuseppe Di Fatta, Hao Chen, Senlin Wang:
Sparse least squares support vector regression for nonstationary systems. IJCNN 2018: 1-8 - [c42]Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong:
Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN 2018: 1-7 - 2017
- [j79]Xia Hong, Sheng Chen:
Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion. Int. J. Autom. Comput. 14(4): 442-449 (2017) - [j78]Xia Hong, Sheng Chen, Yi Guo, Junbin Gao:
l1-norm penalised orthogonal forward regression. Int. J. Syst. Sci. 48(10): 2195-2201 (2017) - [j77]Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris:
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. 28(12): 2872-2884 (2017) - [j76]Xia Hong, Junbin Gao, Sheng Chen:
Zero-Attracting Recursive Least Squares Algorithms. IEEE Trans. Veh. Technol. 66(1): 213-221 (2017) - [j75]Sheng Chen, Xia Hong, Emad Khalaf, Ali Morfeq, Naif D. Alotaibi, Chris J. Harris:
Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier. IEEE Trans. Wirel. Commun. 16(5): 3341-3354 (2017) - 2016
- [j74]Xia Hong, Sheng Chen, Victor M. Becerra:
Sparse density estimator with tunable kernels. Neurocomputing 173: 1976-1982 (2016) - [j73]Hao Chen, Yu Gong, Xia Hong:
A new adaptive multiple modelling approach for non-linear and non-stationary systems. Int. J. Syst. Sci. 47(9): 2100-2110 (2016) - [j72]Xia Hong, Qinghai Liu:
Degree condition for completely independent spanning trees. Inf. Process. Lett. 116(10): 644-648 (2016) - [j71]Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin:
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 476-489 (2016) - [j70]Hao Chen, Yu Gong, Xia Hong, Sheng Chen:
A Fast Adaptive Tunable RBF Network For Nonstationary Systems. IEEE Trans. Cybern. 46(12): 2683-2692 (2016) - [j69]Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin, Xia Hong:
Tensor LRR and Sparse Coding-Based Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(10): 2120-2133 (2016) - [c41]Xia Hong, Junbin Gao:
Manifold optimization for nonnegative coefficient logistic regression. IJCNN 2016: 1762-1766 - [c40]Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris:
Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. IJCNN 2016: 4097-4104 - [c39]Xia Hong, Junbin Gao:
A Fast Algorithm to Estimate the Square Root of Probability Density Function. SGAI Conf. 2016: 165-176 - 2015
- [j68]Sheng Chen, Xia Hong, Emad Khalaf, Ali Morfeq, Naif D. Alotaibi:
Adaptive B-spline neural network based nonlinear equalization for high-order QAM systems with nonlinear transmit high power amplifier. Digit. Signal Process. 40: 238-249 (2015) - [j67]Xia Hong, Sheng Chen:
Elastic net orthogonal forward regression. Neurocomputing 148: 551-560 (2015) - [j66]Xia Hong, Sheng Chen, Junbin Gao, Chris J. Harris:
Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. IEEE Trans. Cybern. 45(12): 2925-2936 (2015) - [j65]Xia Hong, Junbin Gao, Sheng Chen, Tanveer A. Zia:
Sparse Density Estimation on the Multinomial Manifold. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2972-2977 (2015) - [c38]Xia Hong, Yu Gong:
A constrained recursive least squares algorithm for adaptive combination of multiple models. IJCNN 2015: 1-6 - [c37]Xia Hong, Junbin Gao:
Sparse density estimation on multinomial manifold combining local component analysis. IJCNN 2015: 1-7 - [c36]Yifan Fu, Junbin Gao, Xia Hong, David Tien:
Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. SDM 2015: 316-324 - [i3]Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin:
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. CoRR abs/1504.01777 (2015) - [i2]Yifan Fu, Junbin Gao, Xia Hong, David Tien:
Low Rank Representation on Riemannian Manifold of Square Root Densities. CoRR abs/1508.04198 (2015) - [i1]Xia Hong, Sheng Chen, Yi Guo, Junbin Gao:
l1-norm Penalized Orthogonal Forward Regression. CoRR abs/1509.01323 (2015) - 2014
- [j64]Xia Hong, Sheng Chen, Abdulrohman Qatawneh, Khaled Daqrouq, Muntasir Sheikh, Ali Morfeq:
A radial basis function network classifier to maximise leave-one-out mutual information. Appl. Soft Comput. 23: 9-18 (2014) - [j63]Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris:
Fast identification algorithms for Gaussian process model. Neurocomputing 133: 25-31 (2014) - [j62]Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf:
PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. Neurocomputing 138: 248-259 (2014) - [j61]Ming Gao, Xia Hong, Chris J. Harris:
A unified neurofuzzy model for classification. Int. J. Syst. Sci. 45(10): 2158-2171 (2014) - [j60]Ming Gao, Xia Hong, Chris J. Harris:
Construction of Neurofuzzy Models For Imbalanced Data Classification. IEEE Trans. Fuzzy Syst. 22(6): 1472-1488 (2014) - [j59]Sheng Chen, Xia Hong, Junbin Gao, Chris J. Harris:
Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1673-1685 (2014) - [j58]Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf:
Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks. IEEE Trans. Signal Process. 62(17): 4467-4478 (2014) - [j57]Xia Hong, Sheng Chen, Yu Gong, Chris J. Harris:
Nonlinear Equalization of Hammerstein OFDM Systems. IEEE Trans. Signal Process. 62(21): 5629-5639 (2014) - [j56]Hao Chen, Yu Gong, Xia Hong, Sheng Chen:
Adaptive Nonlinear Equalizer Using a Mixture of Gaussian-Based Online Density Estimator. IEEE Trans. Veh. Technol. 63(9): 4265-4276 (2014) - [c35]Yifan Fu, Junbin Gao, Xia Hong, David Tien:
Tensor Regression Based on Linked Multiway Parameter Analysis. ICDM 2014: 821-826 - [c34]Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris:
Dimensionality reduction assisted tensor clustering. IJCNN 2014: 1565-1572 - [c33]Xia Hong, Sheng Chen, Chris J. Harris:
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. IJCNN 2014: 1834-1841 - [c32]Yifan Fu, Junbin Gao, Yanfeng Sun, Xia Hong:
Joint multiple dictionary learning for Tensor sparse coding. IJCNN 2014: 2957-2964 - [c31]Sheng Chen, Xia Hong, Chris J. Harris:
On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers. IJCNN 2014: 3226-3233 - [c30]Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai:
Gaussian Processes Autoencoder for Dimensionality Reduction. PAKDD (2) 2014: 62-73 - 2013
- [j55]Xia Hong, Sheng Chen, Abdulrohman Qatawneh, Khaled Daqrouq, Muntasir Sheikh, Ali Morfeq:
Sparse probability density function estimation using the minimum integrated square error. Neurocomputing 115: 122-129 (2013) - [j54]Xia Hong, Junbin Gao, Sheng Chen, Chris J. Harris:
Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing 122: 210-220 (2013) - [j53]Xia Hong, Richard J. Mitchell, Sheng Chen:
System identification of Wiener systems with B-spline functions using De Boor recursion. Int. J. Syst. Sci. 44(9): 1666-1674 (2013) - [j52]Sheng Chen, Xia Hong, Yu Gong, Chris J. Harris:
Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm. IEEE Trans. Circuits Syst. I Regul. Pap. 60-I(6): 1584-1594 (2013) - [j51]Xia Hong, Sheng Chen, Chris J. Harris:
Elastic-Net Prefiltering for Two-Class Classification. IEEE Trans. Cybern. 43(1): 286-295 (2013) - [j50]Hao Chen, Yu Gong, Xia Hong:
Online Modeling With Tunable RBF Network. IEEE Trans. Cybern. 43(3): 935-947 (2013) - [c29]Xia Hong, Sheng Chen:
A fast algorithm for sparse probability density function construction. DSP 2013: 1-6 - [c28]Xia Hong, Yi Guo, Sheng Chen, Junbin Gao:
Sparse model construction using coordinate descent optimization. DSP 2013: 1-6 - 2012
- [j49]Xia Hong, Sheng Chen:
The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization. Neurocomputing 82: 216-223 (2012) - [j48]Kang Li, Xia Hong, Guido Maione, Qun Niu:
Bio-inspired computing and applications (LSMS-ICSEE, 2010). Neurocomputing 98: 1-3 (2012) - [j47]Xia Hong, Richard J. Mitchell, Sheng Chen:
Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm. Int. J. Syst. Sci. 43(10): 1976-1984 (2012) - [j46]Xia Hong, Sheng Chen, Chris J. Harris:
Using zero-norm constraint for sparse probability density function estimation. Int. J. Syst. Sci. 43(11): 2107-2113 (2012) - [c27]Yi Guo, Junbin Gao, Xia Hong:
Constrained Grouped Sparsity. Australasian Conference on Artificial Intelligence 2012: 433-444 - [c26]Xia Hong, Sheng Chen:
PSO Assisted NURB Neural Network Identification. ICIC (1) 2012: 1-9 - [c25]Xia Hong, Serdar Iplikci, Sheng Chen, Kevin Warwick:
B-Spline Neural Networks Based PID Controller for Hammerstein Systems. ICIC (3) 2012: 38-46 - [c24]Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris:
Probability density function estimation based over-sampling for imbalanced two-class problems. IJCNN 2012: 1-8 - [c23]Xia Hong, Sheng Chen, Chris J. Harris:
Modelling and inverting complex-valued wiener systems. IJCNN 2012: 1-8 - [c22]Ming Gao, Xia Hong, Chris J. Harris:
A neurofuzzy classifier for two class problems. UKCI 2012: 1-6 - 2011
- [j45]Sheng Chen, Xia Hong, Chris J. Harris:
Grey-box radial basis function modelling. Neurocomputing 74(10): 1564-1571 (2011) - [j44]Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris:
A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems. Neurocomputing 74(17): 3456-3466 (2011) - [j43]Xia Hong, Sheng Chen:
Modeling of Complex-Valued Wiener Systems Using B-Spline Neural Network. IEEE Trans. Neural Networks 22(5): 818-825 (2011) - [c21]Hao Chen, Yu Gong, Xia Hong:
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence. ICASSP 2011: 2132-2135 - [c20]Xia Hong, Yu Gong, Sheng Chen:
A Wiener model for memory high power amplifiers using B-spline function approximation. DSP 2011: 1-5 - [c19]Xia Hong, Yu Gong, Sheng Chen:
B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. IJCNN 2011: 30-36 - [c18]Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris:
On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. IJCNN 2011: 1146-1153 - 2010
- [j42]Sheng Chen, Xia Hong, Chris J. Harris:
Regression based D-optimality experimental design for sparse kernel density estimation. Neurocomputing 73(4-6): 727-739 (2010) - [j41]Sheng Chen, Xia Hong, Chris J. Harris:
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. IEEE Trans. Evol. Comput. 14(4): 477-499 (2010) - [j40]Sheng Chen, Xia Hong, Chris J. Harris:
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression. IEEE Trans. Syst. Man Cybern. Part B 40(4): 1101-1114 (2010) - [c17]Sheng Chen, Xia Hong, Chris J. Harris:
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. IJCNN 2010: 1-6 - [c16]Xia Hong, Sheng Chen, Chris J. Harris:
Sparse kernel density estimation technique based on zero-norm constraint. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [j39]Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris:
Non-linear system identification using particle swarm optimisation tuned radial basis function models. Int. J. Bio Inspired Comput. 1(4): 246-258 (2009) - [j38]Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris:
Orthogonal-least-squares regression: A unified approach for data modelling. Neurocomputing 72(10-12): 2670-2681 (2009) - [j37]Yu Gong, Xia Hong:
OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error. Signal Process. 89(4): 502-509 (2009) - [j36]Xia Hong, Sheng Chen:
A New RBF Neural Network With Boundary Value Constraints. IEEE Trans. Syst. Man Cybern. Part B 39(1): 298-303 (2009) - [j35]Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris:
Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection. IEEE Trans. Syst. Man Cybern. Part B 39(2): 457-466 (2009) - [j34]Yu Gong, Xia Hong:
OFDM joint data detection and phase noise cancellation for constant modulus modulations. IEEE Trans. Signal Process. 57(7): 2864-2868 (2009) - [c15]Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris:
A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. CDC 2009: 6762-6767 - 2008
- [j33]Xia Hong, Sheng Chen:
A minimum approximate-BER beamforming approach for PSK modulated wireless systems. Int. J. Autom. Comput. 5(3): 284-289 (2008) - [j32]Sheng Chen, Xia Hong, Chris J. Harris:
An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing 71(4-6): 931-943 (2008) - [j31]Sheng Chen, Xia Hong, Chris J. Harris, Lajos Hanzo:
Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification. Neurocomputing 71(16-18): 3421-3433 (2008) - [j30]Kang Li, Xia Hong, George W. Irwin:
Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007). Neurocomputing 72(1-3): 126-127 (2008) - [j29]Xia Hong, Sheng Chen, Chris J. Harris:
A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. Int. J. Syst. Sci. 39(2): 119-125 (2008) - [j28]Xia Hong, Richard J. Mitchell, Sheng Chen, Chris J. Harris, Kang Li, George W. Irwin:
Model selection approaches for non-linear system identification: a review. Int. J. Syst. Sci. 39(10): 925-946 (2008) - [j27]Xia Hong, Sheng Chen, Chris J. Harris:
A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. IEEE Trans. Neural Networks 19(1): 193-198 (2008) - [j26]Xia Hong, Sheng Chen, Chris J. Harris:
A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. IEEE Trans. Neural Networks 19(11): 1961-1967 (2008) - [c14]Yu Gong, Xia Hong:
A New Algorithm for OFDM Joint Data Detection and Phase Noise Cancellation. ICC 2008: 636-640 - [c13]Sheng Chen, Xia Hong, Chris J. Harris:
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. IJCNN 2008: 1-6 - [c12]Sheng Chen, Xia Hong, Chris J. Harris:
Fully complex-valued radial basis function networks for orthogonal least squares regression. IJCNN 2008: 7-12 - 2007
- [j25]Xia Hong, Richard J. Mitchell:
Backward elimination model construction for regression and classification using leave-one-out criteria. Int. J. Syst. Sci. 38(2): 101-113 (2007) - [j24]Xia Hong, Sheng Chen, Chris J. Harris:
A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. IEEE Trans. Neural Networks 18(1): 28-41 (2007) - [c11]Xia Hong, Sheng Chen, Chris J. Harris:
A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression. ICIC (3) 2007: 1354-1363 - [c10]Sheng Chen, Xia Hong, Chris J. Harris:
Sparse Kernel Modelling: A Unified Approach. IDEAL 2007: 27-36 - [c9]Sheng Chen, Xia Hong, Chris J. Harris:
Probability Density Function Estimation Using Orthogonal Forward Regression. IJCNN 2007: 2492-2497 - [c8]Ning Zong, Xia Hong:
A Multi-Level Probabilistic Neural Network. ISNN (2) 2007: 516-525 - [c7]Ning Zong, Xia Hong:
A Forward Constrained Selection Algorithm for Probabilistic Neural Network. ISNN (2) 2007: 699-704 - 2006
- [j23]Xia Hong, William S. Harwin:
Finding the point on Bezier curves with the normal vector passing an external point. Int. J. Model. Identif. Control. 1(4): 316-324 (2006) - [j22]Xia Hong:
A fast identification algorithm for box-cox transformation based radial basis function neural network. IEEE Trans. Neural Networks 17(4): 1064-1069 (2006) - [j21]Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris:
Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. IEEE Trans. Neural Networks 17(6): 1652-1656 (2006) - [c6]Xia Hong, Sheng Chen, Chris J. Harris:
Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate. ICIC (1) 2006: 106-114 - [c5]Sheng Chen, Chris J. Harris, Xia Hong:
Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. IJCNN 2006: 3358-3362 - 2005
- [j20]N. Zong, Xia Hong:
Nonlinear channel equalizer design using directional evolutionary multi-objective optimization. Int. J. Syst. Sci. 36(12): 737-755 (2005) - [j19]Sheng Chen, Xia Hong, Chris J. Harris, Xunxian Wang:
Identification of nonlinear systems using generalized kernel models. IEEE Trans. Control. Syst. Technol. 13(3): 401-411 (2005) - [j18]Ning Zong, Xia Hong:
On improvement of classification accuracy for stochastic discrimination. IEEE Trans. Syst. Man Cybern. Part B 35(1): 142-149 (2005) - [j17]Xia Hong, Sheng Chen:
M-estimator and D-optimality model construction using orthogonal forward regression. IEEE Trans. Syst. Man Cybern. Part B 35(1): 155-162 (2005) - [c4]Sheng Chen, Xia Hong, Xunxian Wang, Christopher J. Harris:
Sparse Generalized Kernel Modeling for Nonlinear Systems. CDC/ECC 2005: 2574-2579 - [c3]Sheng Chen, Xia Hong, Chris J. Harris:
Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. ICIC (1) 2005: 777-786 - 2004
- [j16]Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen:
Backward Elimination Methods for Associative Memory Network Pruning. Int. J. Hybrid Intell. Syst. 1(2): 90-98 (2004) - [j15]Xia Hong, Sheng Chen, Paul M. Sharkey:
Automatic Kernel Regression Modelling Using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares. Int. J. Neural Syst. 14(1): 27-37 (2004) - [j14]Xia Hong, Chris J. Harris, Sheng Chen:
Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality. IEEE Trans. Syst. Man Cybern. Part B 34(1): 598-608 (2004) - [j13]Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey:
Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Trans. Syst. Man Cybern. Part B 34(2): 898-911 (2004) - [j12]Sheng Chen, Xia Hong, Chris J. Harris:
Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1708-1717 (2004) - [c2]Ning Zong, Xia Hong:
On Improvement of Classification Accuracy for Stochastic Discrimination - Multi-class Classification. CCCT (2) 2004: 17-22 - [c1]Sheng Chen, Xia Hong, Chris J. Harris:
Kernel Density Construction Using Orthogonal Forward Regression. IDEAL 2004: 586-592 - 2003
- [j11]Xia Hong, Chris J. Harris:
Experimental design and model construction algorithms for radial basis function networks. Int. J. Syst. Sci. 34(14-15): 733-745 (2003) - [j10]Sheng Chen, Xia Hong, Chris J. Harris:
Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design. IEEE Trans. Autom. Control. 48(6): 1029-1036 (2003) - [j9]Xia Hong, Chris J. Harris:
A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition. IEEE Trans. Fuzzy Syst. 11(4): 528-541 (2003) - [j8]Xia Hong, Paul M. Sharkey, Kevin Warwick:
A robust nonlinear identification algorithm using PRESS statistic and forward regression. IEEE Trans. Neural Networks 14(2): 454-458 (2003) - [j7]Xia Hong, Chris J. Harris, Sheng Chen, Paul M. Sharkey:
Robust nonlinear model identification methods using forward regression. IEEE Trans. Syst. Man Cybern. Part A 33(4): 514-523 (2003) - 2002
- [b1]Chris J. Harris, Xia Hong, Qiang Gan:
Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach. Advanced information processing, Springer 2002, ISBN 3-540-42686-8, pp. I-XVI, 1-323 - [j6]Xia Hong, Chris J. Harris:
A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. Appl. Intell. 16(1): 59-69 (2002) - [j5]Xia Hong, Chris J. Harris:
Nonlinear model structure design and construction using orthogonal least squares and D-optimality design. IEEE Trans. Neural Networks 13(5): 1245-1250 (2002) - 2001
- [j4]Xia Hong, Chris J. Harris:
Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. IEEE Trans. Fuzzy Syst. 9(1): 88-101 (2001) - [j3]Xia Hong, Chris J. Harris:
Nonlinear model structure detection using optimum experimental design and orthogonal least squares. IEEE Trans. Neural Networks 12(2): 435-439 (2001) - 2000
- [j2]Xia Hong, Christopher J. Harris:
Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition. IEEE Trans. Neural Networks Learn. Syst. 11(4): 889-902 (2000)
1990 – 1999
- 1998
- [j1]Stephen A. Billings, Xia Hong:
Dual-orthogonal radial basis function networks for nonlinear time series prediction. Neural Networks 11(3): 479-493 (1998)
Coauthor Index
[j82] [j79] [j78] [j77] [j76] [j75] [j74] [j70] [c40] [j68] [j67] [j66] [j65] [i1] [j64] [j62] [j59] [j58] [j57] [j56] [c33] [c31] [j55] [j54] [j53] [j52] [j51] [c29] [c28] [j49] [j47] [j46] [c26] [c25] [c24] [c23] [j45] [j44] [j43] [c20] [c19] [c18] [j42] [j41] [j40] [c17] [c16] [j39] [j38] [j36] [j35] [c15] [j33] [j32] [j31] [j29] [j28] [j27] [j26] [c13] [c12] [j24] [c11] [c10] [c9] [j21] [c6] [c5] [j19] [j17] [c4] [c3] [j16] [j15] [j14] [j13] [j12] [c1] [j10] [j7]
Christopher J. Harris 0001
aka: Chris J. Harris
aka: Chris J. Harris
[j77] [j75] [c40] [j66] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [c34] [c33] [c31] [j54] [j52] [j51] [j46] [c24] [c23] [c22] [j45] [j44] [c18] [j42] [j41] [j40] [c17] [c16] [j39] [j38] [j35] [c15] [j32] [j31] [j29] [j28] [j27] [j26] [c13] [c12] [j24] [c11] [c10] [c9] [j21] [c6] [c5] [j19] [c4] [c3] [j16] [j14] [j13] [j12] [c1] [j11] [j10] [j9] [j7] [b1] [j6] [j5] [j4] [j3] [j2]
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