Number of items: 194.
Article
Zhang, J., Wei, H., Zhang, K., Xiao, J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2025)
An efficient multimodal attentional principal component analysis for continual learning-based dynamic process monitoring.
Neurocomputing, 611.
128642.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2024.128642
Zhang, J., Xiao, J., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2023)
Multimodal continual learning for process monitoring: a novel weighted canonical correlation analysis with attention mechanism.
IEEE Transactions on Neural Networks and Learning Systems.
ISSN 2162-237X
doi: https://doi.org/10.1109/TNNLS.2023.3331732
Zhang, J., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2023)
Monitoring multimode nonlinear dynamic processes: an efficient sparse dynamic approach with continual learning ability.
IEEE Transactions on Industrial Informatics, 19 (7).
pp. 8029-8038.
ISSN 1941-0050
doi: https://doi.org/10.1109/TII.2022.3215971
Zhang, J., Zhou, D., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2023)
Continual learning-based probabilistic slow feature
analysis for monitoring multimode nonstationary
processes.
IEEE Transactions on Automation Science and Engineering.
ISSN 1558-3783
doi: https://doi.org/10.1109/TASE.2022.3219125
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Xiao, J. and Mitchell, R.
(2023)
Two-step scalable spectral clustering algorithm using landmarks and probability density estimation.
Neurocomputing, 519.
pp. 173-186.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2022.11.063
Zhang, J., Zhou, D., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2023)
Continual learning for multimode dynamic process
monitoring with applications to an
ultra–supercritical thermal power plant.
IEEE transactions on Automation Science and Engineering, 20 (1).
pp. 137-150.
ISSN 1558-3783
doi: https://doi.org/10.1109/TASE.2022.3144288
Zhang, J., Chen, M. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2021)
Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings.
Neurocomputing, 458.
pp. 319-326.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2021.06.039
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gao, J.
(2021)
Estimating the square root of probability density function on Riemannian manifold.
Expert Systems: International Journal of Knowledge Engineering, 38 (7).
e12266.
ISSN 1468-0394
doi: https://doi.org/10.1111/exsy.12266
Shi, D., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Choy, S. T. B. and Wang, Z.
(2021)
Coupling matrix manifolds assisted optimization for optimal
transport problems.
Machine Learning, 110.
pp. 533-558.
ISSN 1573-0565
doi: https://doi.org/10.1007/s10994-020-05931-2
Feng, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2021)
Parameter tracking of time-varying Hammerstein-Wiener Systems.
International Journal of Systems Science, 52 (16).
pp. 3478-3492.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207721.2021.1931546
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J. and Chen, S.
(2020)
Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling.
Journal of the Franklin Institute, 357 (9).
pp. 5680-5690.
ISSN 0016-0032
doi: https://doi.org/10.1016/j.jfranklin.2020.04.009
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. and Di Fatta, G.
(2019)
Simplex basis function based sparse least squares support vector regression.
Neurocomputing, 330.
pp. 394-402.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2018.11.025
Zhang, J., Chen, H., Chen, S. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2019)
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring.
IEEE Transactions on Cybernetics, 49 (1).
pp. 198-210.
ISSN 2168-2267
doi: https://doi.org/10.1109/TCYB.2017.2771229
Zhang, J., Chen, M., Chen, H., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Zhou, D.
(2019)
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation.
Industrial & Engineering Chemistry Research, 58 (14).
pp. 5579-5587.
ISSN 1520-5045
doi: https://doi.org/10.1021/acs.iecr.8b05875
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2017)
Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion.
International Journal of Automation and Computing, 14 (4).
pp. 442-449.
ISSN 1476-8186
doi: https://doi.org/10.1007/s11633-017-1087-6
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Khalaf, E. F., Morfeq, A., Alotaibi, N. D. and Harris, C. J.
(2017)
Single-carrier frequency-domain equalization with hybrid decision feedback equalizer for Hammerstein channels containing nonlinear transmit amplifier.
IEEE Transactions on Wireless Communications, 16 (5).
pp. 3341-3354.
ISSN 1536-1276
doi: https://doi.org/10.1109/TWC.2017.2681083
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J. and Chen, S.
(2017)
Zero attracting recursive least squares algorithms.
IEEE Transactions on Vehicular Technology, 66 (1).
213 -221.
ISSN 0018-9545
doi: https://doi.org/10.1109/TVT.2016.2533664
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Khalaf, E. F., Alsaadi, F. E. and Harris, C. J.
(2017)
Comparative performance of complex-valued B-spline and polynomial models applied to iterative frequency-domain decision feedback equalization of Hammerstein channels.
IEEE Transactions on Neural Networks and Learning Systems, 28 (12).
pp. 2872-2884.
ISSN 2162-237X
doi: https://doi.org/10.1109/TNNLS.2016.2609001
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Guo, Y. and Gao, J.
(2017)
l1-norm penalized orthogonal forward regression.
International Journal of Systems Science, 48 (10).
pp. 2195-2201.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207721.2017.1311383
Chen, H., Gong, Y., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2016)
A fast adaptive tunable RBF network for nonstationary systems.
IEEE Transactions on Cybernetics, 46 (12).
pp. 2683-2692.
ISSN 2168-2267
doi: https://doi.org/10.1109/TCYB.2015.2484378
Fu, Y., Gao, J., Tien, D., Lin, Z. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2016)
Tensor LRR and sparse coding-based subspace clustering.
IEEE Transactions on Neural Networks and Learning Systems, 27 (10).
pp. 2120-2133.
ISSN 2162-237X
doi: https://doi.org/10.1109/TNNLS.2016.2553155
Sun, Y., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mishra, B. and Yin, B.
(2016)
Heterogeneous tensor decomposition for clustering via manifold optimization.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 38 (3).
pp. 476-489.
ISSN 0162-8828
doi: https://doi.org/10.1109/TPAMI.2015.2465901
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Becerra, V.
(2016)
Sparse density estimator with tunable kernels.
Neurocomputing, 173 (3).
pp. 1976-1982.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2015.08.021
Chen, H., Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2016)
A new adaptive multiple modelling approach for
non-linear and non-stationary systems.
International Journal of Systems Science, 47 (9).
pp. 2100-2110.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207721.2014.973926
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Chen, S. and Zia, T.
(2015)
Sparse density estimation on the multinomial manifold.
IEEE Transactions on Neural Networks and Learning Systems, 26 (11).
pp. 2972-2977.
ISSN 2162-237X
doi: https://doi.org/10.1109/TNNLS.2015.2389273
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Khalaf, E., Morfeq, A. and Alotaibi, N. D.
(2015)
Adaptive B-spline neural network based nonlinear equalization for high-order QAM systems with nonlinear transmit high power amplifier.
Digital Signal Processing, 40.
pp. 238-249.
ISSN 1051-2004
doi: https://doi.org/10.1016/j.dsp.2015.02.006
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2015)
Elastic net orthogonal forward regression.
Neurocomputing, 148.
pp. 551-560.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2014.07.008
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Gao, J. and Harris, C. J.
(2015)
Nonlinear identification using orthogonal forward
regression with nested optimal regularization.
IEEE Transactions on Cybernetics, 45 (12).
pp. 2925-2936.
ISSN 2168-2267
doi: https://doi.org/10.1109/TCYB.2015.2389524
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Gong, Y. and Harris, C. J.
(2014)
Nonlinear equalization of Hammerstein OFDM systems.
IEEE Transactions on Signal Processing, 62 (21).
pp. 5629-5639.
ISSN 1053-587X
doi: https://doi.org/10.1109/TSP.2014.2355773
Chen, H., Gong, Y., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2014)
Adaptive nonlinear equalizer using a mixture of
gaussians based on-line density estimator.
IEEE Transactions on Vehicular Technology, 63 (9).
pp. 4265-4276.
ISSN 0018-9545
doi: https://doi.org/10.1109/TVT.2014.2313458
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Jiang, X. and Harris, C. J.
(2014)
Estimation of Gaussian process regression model using probability distance measures.
Systems Science & Control Engineering, 2.
pp. 655-663.
ISSN 2164-2583
doi: https://doi.org/10.1080/21642583.2014.970731
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Harris, C. J. and Khalaf, E. F.
(2014)
Single-carrier frequency domain equalisation for hammerstein communication systems using complex-valued neural networks.
IEEE Transactions on Signal Processing, 62 (17).
pp. 4467-4478.
ISSN 1053-587X
doi: https://doi.org/10.1109/TSP.2014.2333555
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J. and Harris, C.J.
(2014)
Complex-valued B-spline neural networks for modeling and inverting Hammerstein systems.
IEEE Transactions on Neural Networks and Learning Systems, 25 (9).
pp. 1673-1685.
ISSN 2162-237X
doi: https://doi.org/10.1109/TNNLS.2014.2298535
Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Harris, C. J. and Khalaf, E.
(2014)
PDFOS: PDF estimation based over-sampling for
imbalanced two-class problems.
Neurocomputing, 138.
pp. 248-259.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2014.02.006
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Qatawneh, A., Daqrouq, K., Sheikh, M. and Morfeq, A.
(2014)
A radial basis function network classifier to maximise leave-one-out mutual information.
Applied Soft Computing, 23.
pp. 9-18.
ISSN 1568-4946
doi: https://doi.org/10.1016/j.asoc.2014.06.003
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Jiang, X. and Harris, C. J.
(2014)
Fast identification algorithms for Gaussian process model.
Neurocomputing, 133.
pp. 25-31.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2013.11.035
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Iplikci, S., Chen, S. and Warwick, K.
(2014)
A model-based PID controller for Hammerstein systems using B-spline neural networks.
International Journal of Adaptive Control and Signal Processing, 28 (3-5).
pp. 412-428.
ISSN 0890-6327
doi: https://doi.org/10.1002/acs.2293
Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2014)
Construction of neurofuzzy models for imbalanced data classification.
IEEE Transactions on Fuzzy Systems, 22 (6).
pp. 1472-1488.
ISSN 1063-6706
doi: https://doi.org/10.1109/TFUZZ.2013.2296091
Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2014)
A unified neurofuzzy model for classification.
International Journal of Systems Science, 45 (10).
pp. 2158-2171.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207721.2013.763301
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Qatawneh, A., Daqrouq, K., Sheikh, M. and Morfeq, A.
(2013)
Sparse probability density function estimation using the minimum integrated square error.
Neurocomputing, 114.
pp. 122-129.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2013.02.003
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Chen, S. and Harris, C. J.
(2013)
Particle swarm optimisation assisted classification using elastic net prefiltering.
Neurocomputing, 122.
pp. 210-220.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2013.06.030
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gong, Y. and Harris, C. J.
(2013)
Digital predistorter design using B-Spline neural network and inverse of De Boor algorithm.
IEEE Transactions on Circuits and Systems Part I: fundamental theory and applications, 60 (6).
pp. 1584-1594.
ISSN 1057-7122
doi: https://doi.org/10.1109/TCSI.2012.2226514
Chen, H., Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2013)
Online modeling with tunable RBF network.
IEEE Transactions on Cybernetics, 43 (3).
pp. 935-947.
ISSN 2168-2267
doi: https://doi.org/10.1109/TSMCB.2012.2218804
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2013)
Elastic-net prefiltering for two-class classification.
IEEE Transactions on Cybernetics, 43 (1).
pp. 286-295.
ISSN 2168-2267
doi: https://doi.org/10.1109/TSMCB.2012.2205677
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. J. and Chen, S.
(2013)
System identification of Wiener systems with B-spline functions using De Boor recursion.
International Journal of Systems Science, 44 (9).
pp. 1666-1674.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207721.2012.669863
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C.
(2012)
Using zero-norm constraint for sparse probability density function estimation.
International Journal of Systems Science, 43 (11).
pp. 2107-2113.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207721.2011.564673
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. and Chen, S.
(2012)
Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm.
International Journal of Systems Science, 43 (10).
pp. 1976-1984.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207721.2011.564320
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2012)
The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization.
Neurocomputing, 82.
pp. 216-223.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2011.11.016
Li, K., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Maione, G. and Niu, Q.
(2012)
Bio-inspired computing and applications (LSMS-ICSEE, 2010).
Neurocomputing, 98.
pp. 1-3.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2012.05.014
Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2011)
A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems.
Neurocomputing, 74 (17).
pp. 3456-3466.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2011.06.010
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2011)
Grey-box radial basis function modelling.
Neurocomputing, 74 (10).
pp. 1564-1571.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2011.01.023
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2011)
Modeling of complex-valued Wiener systems using B-spline neural network.
IEEE Transactions on Neural Networks, 22 (5).
pp. 818-825.
ISSN 1045-9227
doi: https://doi.org/10.1109/TNN.2011.2119328
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2010)
Particle swarm optimization aided orthogonal forward regression for unified data modeling.
IEEE Transactions on Evolutionary Computation, 14 (4).
pp. 477-499.
ISSN 1089-778X
doi: https://doi.org/10.1109/TEVC.2009.2035921
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2010)
Probability density estimation with tunable kernels using orthogonal forward regression.
IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 40 (4).
pp. 1101-1114.
ISSN 1083-4419
doi: https://doi.org/10.1109/TSMCB.2009.2034732
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2010)
Regression based D-optimality experimental design for sparse kernel density estimation.
Neurocomputing, 73 (4-6).
pp. 727-739.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2009.11.002
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Luk, B. L. and Harris, C. J.
(2009)
Construction of tunable radial basis function networks using orthogonal forward selection.
IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 39 (2).
pp. 457-466.
ISSN 1083-4419
doi: https://doi.org/10.1109/tsmcb.2008.2006688
Chen, S., Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Luk, B. L.
(2009)
Nonlinear system identification using particle swarm optimisation tuned radial basis function models.
International Journal of Bio-Inspired Computation, 1 (4).
pp. 246-257.
ISSN 1758-0374
doi: https://doi.org/10.1504/IJBIC.2009.024723
Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2009)
OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error.
Signal Processing, 89 (4).
pp. 502-509.
ISSN 0165-1684
doi: https://doi.org/10.1016/j.sigpro.2008.10.006
Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2009)
OFDM joint data detection and phase noise cancellation for constant modulus modulations.
IEEE Transactions on Signal Processing, 57 (7).
pp. 2864-2868.
ISSN 1053-587X
doi: https://doi.org/10.1109/tsp.2009.2018362
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Luk, B. L. and Harris, C. J.
(2009)
Orthogonal-least-squares regression: A unified approach for data modelling.
Neurocomputing, 72 (10-12).
pp. 2670-2681.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2008.10.002
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2009)
A new RBF neural network with boundary value constraints.
IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 39 (1).
pp. 298-303.
ISSN 1083-4419
doi: https://doi.org/10.1109/tsmcb.2008.2005124
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2008)
A-optimality orthogonal forward regression algorithm using branch and bound.
IEEE Transactions on Neural Networks, 19 (11).
pp. 1961-1967.
ISSN 1045-9227
doi: https://doi.org/10.1109/tnn.2008.2003251
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Hanzo, L.
(2008)
Fully complex-valued radial basis function networks: orthogonal least squares regression and classification.
Neurocomputing, 71 (16-18).
pp. 3421-3433.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2007.12.003
Li, K., Irwin, G. W. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2008)
Life system modelling, simulation, and bio-inspired computing (LSMS 2007).
Neurocomputing, 72 (1-3).
pp. 126-127.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2008.08.001
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. J., Chen, S., Harris, C. J., Li, K. and Irwin, G. W.
(2008)
Model selection approaches for non-linear system identification: a review.
International Journal of Systems Science, 39 (10).
pp. 925-946.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207720802083018
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2008)
A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate.
International Journal of Systems Science, 39 (2).
pp. 119-125.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207720701727822
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2008)
A forward-constrained regression algorithm for sparse kernel density estimation.
IEEE Transactions on Neural Networks, 19 (1).
pp. 193-198.
ISSN 1045-9227
doi: https://doi.org/10.1109/tnn.2007.908645
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2008)
A minimum approximate-BER beamforming approach for PSK modulated wireless systems.
International Journal of Automation and Computing, 5 (3).
pp. 284-289.
ISSN 1476-8186
doi: https://doi.org/10.1007/s11633-008-0284-8
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2008)
An orthogonal forward regression technique for sparse kernel density estimation.
Neurocomputing, 71 (4-6).
pp. 931-943.
ISSN 0925-2312
doi: https://doi.org/10.1016/j.neucom.2007.02.008
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R. J.
(2007)
Backward elimination model construction for regression and classification using leave-one-out criteria.
International Journal of Systems Science, 38 (2).
pp. 101-113.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207720601051463
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R. J.
(2007)
Hammerstein model identification algorithm using Bezier-Bernstein approximation.
IET Control Theory and Applications, 1 (4).
pp. 1149-1159.
ISSN 1751-8644
doi: https://doi.org/10.1049/iet-cta:20060018
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2007)
Modified radial basis function neural network using output transformation.
IET Control Theory and Applications, 1 (1).
pp. 1-8.
ISSN 1751-8644
doi: https://doi.org/10.1049/iet-cta:20050039
Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2007)
A forward constrained selection algorithm for probabilistic neural network.
Lecture Notes in Computer Science, 4492.
pp. 699-704.
ISSN 0302-9743
9783540723929
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C.J.
(2007)
A kernel-based two-class classifier for imbalanced data sets.
IEEE Transactions on Neural Networks, 18 (1).
pp. 28-41.
ISSN 1045-9227
doi: https://doi.org/10.1109/TNN.2006.882812
Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2007)
A multi-level probabilistic neural network.
Lecture Notes in Computer Science, 4492.
pp. 516-525.
ISSN 0302-9743
9783540723929
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2006)
Fast kernel classifier construction using orthogonal forward selection to minimise leave-one-out misclassification rate.
Lecture Notes in Computer Science, 4113.
pp. 106-114.
ISSN 0302-9743
9783540372714
doi: https://doi.org/10.1007/11816157_11
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harwin, W.S. ORCID: https://orcid.org/0000-0002-3928-3381
(2006)
Finding the point on Bezier Curves with the normal vector passing an external point.
International Journal of Modelling Identification and Control, 1 (4).
doi: https://doi.org/10.1504/IJMIC.2006.012620
Chen, S., Wang, X. X., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2006)
Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure.
IEEE Transactions on Neural Networks, 17 (6).
pp. 1652-1656.
ISSN 1045-9227
doi: https://doi.org/10.1109/tnn.2006.881487
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2006)
A fast identification algorithm for Box-Cox transformation based radial basis function neural network.
IEEE Transactions on Neural Networks, 17 (4).
pp. 1064-1069.
ISSN 1045-9227
doi: https://doi.org/10.1109/tnn.2006.875986
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Wang, X. X.
(2005)
Identification of nonlinear systems using generalized kernel models.
IEEE Transactions on Control Systems Technology, 13 (3).
pp. 401-411.
ISSN 1063-6536
doi: https://doi.org/10.1109/tcst.2004.841652
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2005)
M-estimator, and D-optimality model construction using orthogonal forward regression.
IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 35 (1).
pp. 155-162.
ISSN 1083-4419
doi: https://doi.org/10.1109/tsmcb.2004.839910
Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2005)
Nonlinear channel equalizer design using directional evolutionary multi-objective optimization.
International Journal of Systems Science, 36 (12).
pp. 737-755.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207720500218908
Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2005)
On improvement of classification accuracy for stochastic discrimination.
IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 35 (1).
pp. 142-149.
ISSN 1083-4419
doi: https://doi.org/10.1109/tsmcb.2004.839908
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2005)
Orthogonal forward selection for constructing the radial basis function network with tunable nodes.
Lecture Notes in Computer Science, 3644.
pp. 777-786.
ISSN 0302-9743
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Sharkey, P. M.
(2004)
Automatic Kernel Regression Modelling using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares.
International Journal of Neural Systems, 14 (1).
pp. 27-37.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Brown, M. and Chen, S.
(2004)
Backward elimination methods for associative memory network pruning.
International Journal of Hybrid Intelligent Systems, 1 (1-2).
pp. 90-98.
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2004)
Kernel density construction using orthogonal forward regression.
Lecture Notes in Computer Science, 3177.
pp. 586-592.
ISSN 0302-9743
3-540-22881-0
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Chen, S.
(2004)
Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality.
IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 34 (1).
pp. 598-608.
ISSN 1083-4419
doi: https://doi.org/10.1109/tsmcb.2003.817089
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2004)
Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization.
IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 34 (4).
pp. 1708-1717.
ISSN 1083-4419
doi: https://doi.org/10.1109/tsmcb.2004.828199
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Brown, M., Chen, S. and Harris, C. J.
(2004)
Sparse model identification using orthogonal forward regression with basis pursuit and D-optimality.
IEE Proceedings-Control Theory and Applications, 151 (4).
pp. 491-498.
ISSN 1350-2379
doi: https://doi.org/10.1049/ip-cta:20040693
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Sharkey, P. M.
(2004)
Sparse modeling using orthogonal forward regression with PRESS statistic and regularization.
IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 34 (2).
pp. 898-911.
ISSN 1083-4419
doi: https://doi.org/10.1109/tsmcb.2003.817107
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Sharkey, P. M. and Warwick, K.
(2003)
Automatic nonlinear predictive model-construction algorithm using forward regression and the PRESS statistic.
IEE Proceedings-Control Theory and Applications, 150 (3).
pp. 245-254.
ISSN 1350-2379
doi: https://doi.org/10.1049/ip-cta:20030311
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2003)
Experimental design and model construction algorithms for radial basis function networks.
International Journal of Systems Science, 34 (14-15).
pp. 733-745.
ISSN 0020-7721
doi: https://doi.org/10.1080/00207720310001640223
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J., Chen, S. and Sharkey, P. M.
(2003)
Robust nonlinear model identification methods using forward regression.
IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans, 33 (4).
pp. 514-523.
ISSN 1083-4427
doi: https://doi.org/10.1109/tsmca.2003.809217
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2003)
Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design.
IEEE Transactions on Automatic Control, 48 (6).
pp. 1029-1036.
ISSN 0018-9286
doi: https://doi.org/10.1109/tac.2003.812790
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2003)
Sparse multioutput radial basis function network construction using combined locally regularised orthogonal least square and D-optimality experimental design.
IEE Proceedings-Control Theory and Applications, 150 (2).
pp. 139-146.
ISSN 1350-2379
doi: https://doi.org/10.1049/ip-cta:20030253
Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2003)
A combined algorithm using support vector machines and orthogonal forward regression with PRESS statistic.
The 2003 UK Workshop on Computational Intelligence.
pp. 315-319.
Wilson, P. A., Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2003)
A line of sight counteraction navigation algorithm for ship encounter collision avoidance.
Journal of Navigation, 56 (1).
pp. 111-121.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2003)
A neurofuzzy network knowledge extraction and extended gram-Schmidt algorithm for model subspace decomposition.
IEEE Transactions on Fuzzy Systems, 11 (4).
pp. 528-541.
ISSN 1063-6706
doi: https://doi.org/10.1109/tfuzz.2003.814842
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Brown, M., Harris, C.J. and Chen, S.
(2003)
An orthogonal forward regression algorithm combined with basis pursuit and D-optimality.
IEEE SMC UK&RI Chapter Workshop: Cybernetic Intelligence-Challenges and Advances.
pp. 57-62.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Sharkey, P. M. and Warwick, K.
(2003)
A robust nonlinear identification algorithm using PRESS statistic and forward regression.
IEEE Transactions on Neural Networks, 14 (2).
pp. 454-458.
ISSN 1045-9227
doi: https://doi.org/10.1109/tnn.2003.809422
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2002)
Nonlinear model structure design and construction using orthogonal least squares and D-optimality design.
IEEE Transactions on Neural Networks, 13 (5).
pp. 1245-1250.
ISSN 1045-9227
doi: https://doi.org/10.1109/TNN.2002.1031959
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2002)
A mixture of experts network structure construction algorithm for modelling and control.
Applied Intelligence, 16 (1).
pp. 59-69.
ISSN 1573-7497
doi: https://doi.org/10.1023/A:1012869427428
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2001)
Neurofuzzy design and model construction of nonlinear dynamical processes from data.
IEE Proceedings-Control Theory and Applications, 148 (6).
pp. 530-538.
ISSN 1350-2379
doi: https://doi.org/10.1049/ip-cta:20010704
Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2001)
Neurofuzzy mixture of experts network parallel learning and model construction algorithms.
IEE Proceedings-Control Theory and Applications, 148 (6).
pp. 456-465.
ISSN 1350-2379
doi: https://doi.org/10.1049/ip-cta:20010758
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2001)
Nonlinear model structure detection using optimum experimental design and orthogonal least squares.
IEEE Transactions on Neural Networks, 12 (2).
pp. 435-439.
ISSN 1045-9227
doi: https://doi.org/10.1109/72.914539
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2001)
Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks.
IEEE Transactions on Fuzzy Systems, 9 (1).
pp. 88-101.
ISSN 1063-6706
doi: https://doi.org/10.1109/91.917117
Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2001)
Neurofuzzy control using Kalman filtering state feedback with coloured noise for unknown non-linear processes.
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 215 (5).
pp. 423-435.
ISSN 2041-3041
doi: https://doi.org/10.1177/095965180121500501
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J.
(2000)
Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition.
IEEE Transactions on Neural Networks, 11 (4).
pp. 889-902.
ISSN 1045-9227
doi: https://doi.org/10.1109/72.857770
Harris, C.J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2000)
Neurofuzzy network model construction using Bézier-Bernstein polynomial functions.
IEE Proceedings-Control Theory and Applications, 147 (3).
pp. 337-343.
ISSN 1350-2379
doi: https://doi.org/10.1049/ip-cta:20000394
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Billings, S. A.
(1999)
Parameter estimation based on stacked regression and evolutionary algorithms.
IEE Proceedings-Control Theory and Applications, 146 (5).
pp. 406-414.
ISSN 1350-2379
doi: https://doi.org/10.1049/ip-cta:19990505
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Wilson, P. A.
(1999)
Neurofuzzy state identification using prefiltering.
IEE Proceedings-Control Theory and Applications, 146 (2).
pp. 234-240.
ISSN 1350-2379
doi: https://doi.org/10.1049/ip-cta:19990121
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Billings, S. A.
(1999)
Time series multistep-ahead predictability estimation and ranking.
Journal of Forecasting, 18 (2).
pp. 139-149.
ISSN 0277-6693
doi: https://doi.org/10.1002/(SICI)1099-131X(199903)18:2<139::AID-FOR710>3.0.CO;2-W
Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wilson, P. A.
(1999)
An intelligent guidance and control system for ship obstacle avoidance.
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 213 (4).
pp. 311-320.
ISSN 2041-3041
doi: https://doi.org/10.1243/0959651991540179
Billings, S. A. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(1998)
Dual-orthogonal radial basis function networks for nonlinear time series prediction.
Neural Networks, 11 (3).
pp. 479-493.
ISSN 0893-6080
doi: https://doi.org/10.1016/S0893-6080(97)00132-9
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Billings, S.A.
(1997)
Givens rotation based fast backward elimination algorithm for RBF neural network pruning.
IEE Proceedings-Control Theory and Applications, 144 (5).
pp. 381-384.
ISSN 1350-2379
doi: https://doi.org/10.1049/ip-cta:19971436
Book or Report Section
Xu, D., Fang, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gao, J.
(2019)
Sparse least squares low rank kernel machines.
In:
International Conference on Neural Information Processing.
Springer, Cham, pp. 395-406.
ISBN 9783030367107
doi: https://doi.org/10.1007/978-3-030-36711-4_33
Fu, Y., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Tien, D.
(2015)
Low rank representation on Riemannian manifold of symmetric positive definite matrices.
In:
Proceedings of the 2015 SIAM International Conference on Data Mining.
SIAM, pp. 316-324.
ISBN 9781611974010
doi: https://doi.org/10.1137/1.9781611974010.36
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2013)
Complex-valued B-spline neural networks for modeling and inverse of Wiener systems.
In: Hirose, A. (ed.)
Complex-valued neural networks: advances and applications.
Wiley-IEEE press, Hoboken, pp. 209-233.
ISBN 9781118344606
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2013)
Complex-valued b-spline neural networks for modelling and inverse of wiener systems.
In: Hirose, A. (ed.)
Complex-Valued Neural Networks: Advances and Applications.
John Wiley & Sons, Hoboken, NJ, pp. 209-233.
doi: https://doi.org/10.1002/9781118590072.ch9
Guo, Y., Gao, J. B. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2012)
Constrained grouped sparsity.
In: Thielscher, M. and Zhang, D. (eds.)
AI 2012: Advances in Artificial Intelligence - Proceedings of the 25th Australasian Joint Conference.
Lecture Notes in Computer Science (7691).
Springer, pp. 433-444.
ISBN 9783642351006
doi: https://doi.org/10.1007/978-3-642-35101-3_37
Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2012)
A neurofuzzy classifier for two class problems.
In:
Proceedings of the UKCI 2012, the 12th UK Workshop on Computational Intelligence.
Conference Publications.
IEEE, pp. 1-6.
ISBN 9781467343916
doi: https://doi.org/10.1109/UKCI.2012.6335763
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Iplikci, S., Chen, S. and Warwick, K.
(2012)
B-spline neural networks based PID controller for Hammerstein systems.
In: Huang, D.-S., Gupta, P., Zhang, X. and Premaratne, P. (eds.)
Emerging Intelligent Computing Technology and Applications.
Communications in Computer and Information Science, 304.
Springer, pp. 38-46.
doi: https://doi.org/10.1007/978-3-642-31837-5_6
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2012)
Construction of radial basis function networks with diversified topologies.
In: Wang, L. and Garnier, H. (eds.)
System identification, environmental modelling, and control system design.
Springer, London, pp. 251-270.
ISBN 9780857299734
doi: https://doi.org/10.1007/978-0-85729-974-1_13
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2010)
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression.
In:
The 2010 International Joint Conference on Neural Networks (IJCNN).
IEEE, pp. 3418-3423.
ISBN 9781424469161
doi: https://doi.org/10.1109/IJCNN.2010.5596855
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2010)
Sparse kernel density estimation technique based on zero-norm constraint.
In:
The 2010 International Joint Conference on Neural Networks (IJCNN).
IEEE, pp. 3782-3787.
ISBN 9781424469161
doi: https://doi.org/10.1109/IJCNN.2010.5596853
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Zhu, Q. M.
(2009)
An on-line algorithm of uncertain time delay estimation in a continuous system.
In:
2009 IEEE International Conference on Networking, Sensing and Control, Vols 1 and 2.
IEEE International Conference on Networking, Sensing and Control.
IEEE, New York, pp. 498-501.
ISBN 9781424434916
Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2008)
A new algorithm for OFDM joint data detection and phase noise cancellation.
In:
2008 IEEE International Conference on Communications, Proceedings, Vols 1-13.
IEEE International Conference on Communications.
IEEE, New York, pp. 636-640.
ISBN 1550-3607
9781424420742
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C.
(2007)
A sparse kernel density estimation algorithm using forward constrained regression.
In: Huang, D. S., Heutte, L. and Loog, M. (eds.)
Advanced Intelligent Computing Theories and Applications - with Aspects of Contemporary Intelligent Computing Techniques.
Communications in Computer and Information Science, 2.
Springer-Verlag Berlin, pp. 1354-1363.
ISBN 9783540742814
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J.
(2005)
Neurofuzzy model construction, design and estimation.
In: Ruano, A. E. (ed.)
Intelligent Control Systems using Computational Intelligence Techniques.
IEE Publishing, London UK, 219 - 252.
Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2004)
Improvement of classification accuracy for stochastic discrimination - Multi-class classification.
In: Chu, H. W., Savoie, M. and Sanchez, B. (eds.)
International Conference on Computing, Communications and Control Technologies, Vol 2, Proceedings.
Int Inst Informatics & Systemics, Orlando, pp. 17-22.
ISBN 9806560175
Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2004)
RBF equalizer design using directional evolutionary multi-objective optimization.
In: Chu, H. W., Savoie, M., Toraichi, K. and Kwan, P. (eds.)
International Conference on Computing, Communications and Control Technologies, Vol 3, Proceedings.
Int Inst Informatics & Systemics, Orlando, pp. 109-114.
ISBN 9806560175
Chen, S. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2003)
Orthogonal forward regression based on directly maximizing model generalization capability.
In: Hu, H., Yue, Y. and Zhao, Z. (eds.)
Proceedings of the 2003 Chinese automation & computing society conference in the UK 2003.
Pacilantic International, pp. 251-256.
ISBN 9780953389063
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J., Chen, S. and Sharkey, P. M.
(2003)
Robust identification for linear-in-the-parameters models.
In: Ruano, A. E., Ruano, M. G. and Fleming, P. J. (eds.)
Intelligent Control Systems and Signal Processing 2003.
Ifac Proceedings Series.
Pergamon-Elsevier Science Ltd, Kidlington, pp. 273-278.
ISBN 0080440886
Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gan, Q.
(2000)
Neurofuzzy state estimators.
In: Sinha, N. K. and Gupta, M. M. (eds.)
Soft computing and intelligent systems: theory and applications.
Academic Press, pp. 377-402.
ISBN 9780126464900
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Wilson, P. A.
(1999)
Autonomous ship collision free trajectory navigation and control algorithms.
In:
Proceedings of EFTA '99: the7th IEEE International Conference on Emerging Technologies and Factory Automation.
IEEE Press, Barcelona, Spain, pp. 923-929.
ISBN 0780356705
doi: https://doi.org/10.1109/ETFA.1999.813090
Conference or Workshop Item
Makarova, A., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X, Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771
(2024)
Learning a strategy for preference elicitation in conversational recommender systems.
In: International Joint Conference on Neural Networks (IJCNN), 30 Jun - 5 Jul 2024, Yokohama, Japan.
doi: https://doi.org/10.1109/ijcnn60899.2024.10650365
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Xiao, J. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748
(2024)
A semi-supervised clustering approach using nonlinear canonical correlation analysis with t-SNE.
In: 2024 International Joint Conference on Neural Networks (IJCNN), 30 Jun- 5 Jul 2024, Yokohoma, Japan.
doi: https://doi.org/10.1109/ijcnn60899.2024.10650841
Dominguez, A. R., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2024)
Structured radial basis function network: modelling diversity for multiple hypotheses prediction.
In: AI-2024 Forty-fourth SGAI International Conference on Artificial Intelligence, 17-19 December 2024, Cambridge, England.
(In Press)
Amoudi, S. A., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748
(2024)
Modified probabilistic neural networks LBP classification based on distance measures in probability space.
In: The 21st UK Workshop on Computational Intelligence, 7-9 Sep 2022, Sheffield, pp. 117-128.
doi: https://doi.org/10.1007/978-3-031-55568-8_10
(ISBN: 9783031555671)
Morris, J., Liu, Z., Liang, H., Nagala, S. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2023)
ThyExp: an explainable AI-assisted decision making toolkit for
thyroid nodule diagnosis based on ultra-sound images.
In: 32nd ACM International Conference on Information and Knowledge Management, Saturday 21 - Wednesday 25 October 2023, Birmingham,UK, pp. 5371-5375.
doi: https://doi.org/10.1145/3583780.3615131
Osei-brefo, E., Mitchell, R. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2023)
Hybrid dual-resampling and cost-sensitive classification for credit risk prediction.
In: AI-2023 Forty-third SGAI International Conference on Artificial Intelligence, 12-14 DECEMBER 2023, Cambridge, England.
(In Press)
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 and Gao, J.
(2020)
Nonlinear logistic regression model based on simplex basis function.
In: 2020 International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, United Kingdom (virtual).
doi: https://doi.org/10.1109/IJCNN48605.2020.9207064
Alamoudi, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748
(2020)
Plant leaf recognition using texture features and semi-supervised spherical K-means clustering.
In: 2020 International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, United Kingdom (virtual).
doi: https://doi.org/10.1109/IJCNN48605.2020.9207386
Moodley, P., Rosman, B. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2019)
Understanding structure of concurrent actions.
In: AI-2019: The Thirty-ninth SGAI International Conference, 17-19 Dec 2019, Cambridge, UK, pp. 78-90.
Song, X., Jiang, X., Gao, J., Cai, Z. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2018)
Functional locality preserving projection for dimensionality reduction.
In: 2018 International Joint Conference on Neural Networks (IJCNN), 8-13,July,2018, Rio.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Di Fatta, G., Chen, H. and Wang, S.
(2018)
Sparse least squares support vector regression for nonstationary systems.
In: 2018 International Joint Conference on Neural Networks (IJCNN), 8-13 Jul 2018, Rio.
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Khalaf, E., Alsaadi, F. E. and Harris, C. J.
(2016)
Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems.
In: IJCNN 2016, 25-29, July, 2016, Vancouver.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Junbin, G.
(2016)
A fast algorithm to estimate the square root of probability density function.
In: AI2016, Thirty-sixth SGAI International Conference on Artificial Intelligence,, Dec,13-15, 2016, Cambridge.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gao, J.
(2016)
Manifold optimization for nonnegative coefficient logistic regression.
In: IJCNN 2016, 25-29, July, 2016, Vancouver.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gao, J.
(2015)
Sparse density estimation on multinomial manifold combining local component analysis.
In: 2015 International Joint Conference on Neural Networks (IJCNN), 12-17, July, 2015, Killarney, Ireland.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gong, Y.
(2015)
A constrained recursive least squares algorithm for adaptive combination of multiple models.
In: 2015 International Joint Conference on Neural Networks (IJCNN), 12-17, July, 2015, Killarney, Ireland.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2014)
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels.
In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China.
Sun, Y., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Guo, Y. and Harris, C. J.
(2014)
Dimensionality reduction assisted tensor clustering.
In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China.
Jiang, X., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Cai, Z.
(2014)
Gaussian processes autoencoder for dimensionality reduction.
In: Part II of Proceeding 18th Pacific-Asia Conference, PAKDD 2014, May 13-16, 2014, Tainan, Taiwan.
Fu, Y., Gao, J., Sun, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2014)
Joint multiple dictionary learning for tensor sparse coding.
In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014., Beijing, China.
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2014)
On-line Gaussian mixture density estimator for adaptive
minimum bit-error-rate beamforming receivers.
In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China.
Fu, Y., Gao, J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Tien, D.
(2014)
Tensor regression based on linked multiway parameter analysis.
In: IEEE International Conference on Data Mining 2014, 14-17 Dec 2014, Shenzhen, China.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Guo, Y., Chen, S. and Gao, J.
(2013)
Sparse model construction using coordinate descent optimization.
In: Proceedings: 18th International Conference on Digital Signal Processing (DSP2013), 1 - 3 July 2013, Santorini - Greece.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2013)
A fast algorithm for sparse probability density function construction.
In: 18th International Conference on Digital Signal Processing (DSP2013), 1 - 3 July 2013, Santorini - Greece.
Chen, H., Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2012)
Adaptive noise cancellation with fast tunable RBF network.
In: SSPD 2012: Sensor Signal Processing for Defence, 25-27 September 2012, Imperial College, London.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2012)
An elastic net orthogonal forward regression algorithm.
In: 16th IFAC Symposium on System Identification, 11-13 July 2012, Brussels, Belgium, pp. 1814-1819.
Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2012)
Probability density function estimation based over-sampling for imbalanced two-class problems.
In: International Joint Conference on Neural Networks, 10-15 June 2012, Brisbane, Australia.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2012)
Modelling and inverting complex-valued Wiener systems.
In: International Joint Conference on Neural Networks, 10-15 June 2012, Brisbane, Australia.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2012)
PSO assisted NURB Neural Network Identification.
In: ICIC 2012: the Eighth International Conference on Intelligent Computing, 25-29 July 2012, Huangshan, China.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. and Chen, S.
(2011)
Wiener System identification using B-spline functions with De Boor recursion.
In: SSPD 2011: Sensor Signal Processing for Defence, 27-29 September 2011, Imperial College, London.
Gao, M., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J.
(2011)
On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems.
In: IJCNN 2011, July 30th - August 5th, 2011, San Jose, CA,USA, pp. 1146-1153.
Chen, H., Gong, Y. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2011)
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence.
In: ICASSP'2011: the 36th International Conference on Acoustics, Speech and Signal Processing, 22-27 May 2011, Prague, Czech Republic, pp. 2132-2135.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gong, Y. and Chen, S.
(2011)
B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm.
In: International Joint Conference on Neural Networks (IJCNN 2011), 30 Jul - 5 Aug 2011, San Jose, California, USA, pp. 30-36.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gong, Y. and Chen, S.
(2011)
A Wiener model for memory high power amplifiers using B-spline function approximation.
In: 17th International Conference on Digital Signal Processing, 13-15 June 2011, Corfu, Greece.
(ISBN: 9781457702730)
Gong, Y., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and AbuSalem, K.
(2010)
Adaptive MMSE equalizer with optimum tap-length and decision delay.
In: Sensor Signal Processing for Defence 2010 (SSPD 2010), 29-30 September 2010, Imperial College, London, UK.
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J.
(2009)
Grey-box radial basis function modelling: the art of incorporating prior knowledge.
In: 15th Workshop on Statistical Signal Processing (SSP 2009), Cardiff, Wales, UK.
doi: https://doi.org/10.1109/SSP.2009.5278559
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Luk, B. L. and Harris, C.J.
(2009)
A tunable radial basis function model for nonlinear system identification using particle swarm optimisation.
In: 48th IEEE Conference on Decision and Control, held jointly with the 28th Chinese Control Conference (CDC/CCC 2009), Shanghai, China, pp. 6762-6767.
doi: https://doi.org/10.1109/CDC.2009.5399687
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J.
(2008)
Fully complex-valued radial basis function networks for orthogonal least squares regression.
In: International Joint Conference on Neural Networks 2008 (IJCNN), Hong Kong, China.
doi: https://doi.org/10.1109/IJCNN.2008.4633759
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J.
(2008)
Sparse kernel density estimator using orthogonal regression based on D-optimality experimental design.
In: International Joint Conference on Neural Networks 2008 (IJCNN), Hong Kong, China.
doi: https://doi.org/10.1109/IJCNN.2008.4633758
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J.
(2007)
Probability density function estimation using orthogonal forward regression.
In: International Joint Conference on Neural Networks (IJCNN 2007), Orlando, USA.
doi: https://doi.org/10.1109/IJCNN.2007.4371350
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J.
(2007)
Sparse kernel modelling: a unified approach.
In: 8th International Conference on Intelligent Data Engineering and Automated Learning, Birmingham, UK.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R.J.
(2006)
Bezier-Bernstein polynomial based Hammerstein model and identification algorithm - Paper ID23.
In: International Control Conference, 30 Aug - 01 Sept 2006, Glasgow, United Kingdom.
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J.
(2006)
Construction of RBF classifiers with tunable units using orthonogal forward selection based on leave-one-out misclassification rate.
In: Proceedings of 2006 International Joint Conference on Neural Networks, Vancouver, Canada, 6390 - 6394.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R.J.
(2006)
A pole assignment controller for Bezier-Bernstein polynomial based Hammerstein model - Paper ID 95.
In: Proc Control 2006, Glasgow, United Kingdom.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2005)
Identification of Box-Cox radial basis function neural network.
In: Proc. of IFSA 2005 World Congress, Fuzzy Logic, Soft Computing and Computational Intelligence Theories and Applications, Beijing, China.
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Wang, X.X. and Harris, C.J.
(2005)
Sparse generalised kernel modelling for nonlinear systems.
In: Proc of the Joint 44th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC'05), Seville, Spain.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Chen, S.
(2005)
A forward regression algorithm based on M-estimators.
In: Proc. of the 2005 WSEAS Int. Conf. on Dynamical Systems and Control, Venice, Italy.
Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2005)
A modified gradient descent nonlinear model parameter estimation algorithm by using combined micro-GA and constrained optimization.
In: Proc. of IFSA 2005 World Congress, Fuzzy Logic, Soft Computing and Computational Intelligence Theories and Applications, Beijing, China.
Zong, N. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2004)
On improvement of classification accuracy for stochastic discrimination-multi-class Classification.
In: Proc. Int. Conf. on Computing, Communications and Control Technologies, Austin, Texas.
Harris, C.J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2003)
Neurofuzzy model construction and knowledge extraction using subspace decomposition.
In: IFAC Conference on Intelligent Control and Signal Processing, Faro, Portugal.
Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2002)
Neurofuzzy state space modelling and control using Kalman filtering state feedback with coloured noise.
In: IFAC Adaptation and Learning in Control and Signal Processing (ALCOSP 2001), 29-31 Aug 2001, Como, Italy, pp502.
Chen, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J.
(2002)
Sparse data modelling using combined locally regularized orthogonal least squares and D-optimality design.
In: CASIA & CACSUK 2002, 20-21 Sep 2002, Beijing, China.
Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2001)
Neurofuzzy approaches to intelligent collision avoidance problems in (semi) autonomous transportation.
In: Joint 9th IFSA World Congress and 20th NAFIPS International Conference: IFSA/NAFIPS 2001, 25-28 Jul 2001, Vancouver, Canada, pp. 517-522.
Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2001)
Parallel neurofuzzy learning and construction algorithm.
In: SPIE Applications and Science of Computational Intelligence IV 2001, 16-20 Apr 2001, Orlando, USA.
Harris, C. J. and Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298
(2000)
Data based constructive identification - overcoming the curse of dimensionality.
In: IFAC AIRTC symposium: Artificial Intelligence in Real Time Control, 2000, Budapest, Hungary.
Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Feng, M.
(1999)
Optimal piecewise locally linear modeling.
In: SPIE AeroSense'99, Applications and Science of Computational Intelligence II, 5th April 1999, Orlando, Florida, USA, p. 486.
doi: https://doi.org/10.1117/12.342906
Harris, C. J., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wilson, P. A.
(1999)
An intelligent guidance and control system for ship obstacle avoidance.
In: CIMA/ISFL'99: International ICSC Conference on Computational Intelligence Methods and Applications, Fuzzy Logic and applications, 1999, Rochester, USA, pp. 135-140.
Book
Harris, C., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Gan, Q.
(2002)
Adaptive modelling, estimation and fusion from data: a neurofuzzy approach.
Advanced Information Processing.
Springer, Berlin, pp339.
ISBN 9783540426868
This list was generated on Sun Oct 6 02:13:35 2024 UTC.