Professor Xia Hong

Osei-brefo, E. , Mitchell, R. , Hong, X. (2023) Hybrid dual-resampling and cost-sensitive classification for credit risk prediction.
Morris, J. , Liu, Z. , Liang, H. , Nagala, S. , Hong, X. (2023) ThyExp: an explainable AI-assisted decision making toolkit for thyroid nodule diagnosis based on ultra-sound images.
Hong, X. , Gao, J. , Wei, H. , Xiao, J. , 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://dx.doi.org/10.1016/j.neucom.2022.11.063
Zhang, J. , Chen, M. , Hong, X. (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://dx.doi.org/10.1109/TII.2022.3215971
Zhang, J. , Zhou, D. , Chen, M. , Hong, X. (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://dx.doi.org/10.1109/TASE.2022.3144288

Zhang, J. , Zhou, D. , Chen, M. , Hong, X. (2022) Continual learning-based probabilistic slow feature analysis for monitoring multimode nonstationary processes. IEEE Transactions on Automation Science and Engineering ISSN: 1558-3783 | doi: https://dx.doi.org/10.1109/TASE.2022.3219125
Amoudi, S. , Hong, X. , Wei, H. (2022) Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space.

Feng, Y. and Hong, X. (2021) Parameter tracking of time-varying Hammerstein-Wiener Systems. International Journal of Systems Science , 52 (16). pp. 3478-3492. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2021.1931546
Zhang, J. , Chen, M. , Hong, X. (2021) Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing , 458 pp. 319-326. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2021.06.039
Shi, D. , Gao, J. , Hong, X. , Choy, S. , Wang, Z. (2021) Coupling matrix manifolds assisted optimization for optimal transport problems. Machine Learning , 110 pp. 533-558. ISSN: 1573-0565 | doi: https://dx.doi.org/10.1007/s10994-020-05931-2
Hong, X. and Gao, J. (2021) Estimating the square root of probability density function on Riemannian manifold. Expert Systems: International Journal of Knowledge Engineering , 38 (7). ISSN: 1468-0394 | doi: https://dx.doi.org/10.1111/exsy.12266

Hong, X. , Wei, H. , Gao, J. (2020) Nonlinear logistic regression model based on simplex basis function. | doi: https://dx.doi.org/10.1109/IJCNN48605.2020.9207064
Alamoudi, S. , Hong, X. , Wei, H. (2020) Plant leaf recognition using texture features and semi-supervised spherical K-means clustering. | doi: https://dx.doi.org/10.1109/IJCNN48605.2020.9207386
Hong, X. , Gao, J. , 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://dx.doi.org/10.1016/j.jfranklin.2020.04.009

Moodley, P. , Rosman, B. , Hong, X. (2019) Understanding structure of concurrent actions. pp. 78-90.
Xu, D. , Fang, M. , Hong, X. , Gao, J. (2019) Sparse least squares low rank kernel machines. International Conference on Neural Information Processing. Springer, Cham pp. 395-406. ISBN: 9783030367107 | doi: https://dx.doi.org/10.1007/978-3-030-36711-4_33
Hong, X. , Mitchell, R. , Di Fatta, G. (2019) Simplex basis function based sparse least squares support vector regression. Neurocomputing , 330 pp. 394-402. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2018.11.025
Zhang, J. , Chen, M. , Chen, H. , Hong, X. , 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://dx.doi.org/10.1021/acs.iecr.8b05875
Zhang, J. , Chen, H. , Chen, S. , Hong, X. (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://dx.doi.org/10.1109/TCYB.2017.2771229

Hong, X. , Di Fatta, G. , Chen, H. , Wang, S. (2018) Sparse least squares support vector regression for nonstationary systems.
Song, X. , Jiang, X. , Gao, J. , Cai, Z. , Hong, X. (2018) Functional locality preserving projection for dimensionality reduction.

Hong, X. , Chen, S. , Guo, Y. , Gao, J. (2017) l1-norm penalized orthogonal forward regression. International Journal of Systems Science , 48 (10). pp. 2195-2201. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2017.1311383
Hong, X. 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://dx.doi.org/10.1007/s11633-017-1087-6
Chen, S. , Hong, X. , Khalaf, E. , Morfeq, A. , Alotaibi, N. , Harris, C. (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://dx.doi.org/10.1109/TWC.2017.2681083
Chen, S. , Hong, X. , Khalaf, E. , Alsaadi, F. , Harris, C. (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://dx.doi.org/10.1109/TNNLS.2016.2609001
Hong, X. , Gao, J. , Chen, S. (2017) Zero attracting recursive least squares algorithms. IEEE Transactions on Vehicular Technology , 66 (1). pp. 213 -221. ISSN: 0018-9545 | doi: https://dx.doi.org/10.1109/TVT.2016.2533664

Hong, X. and Junbin, G. (2016) A fast algorithm to estimate the square root of probability density function.
Chen, S. , Hong, X. , Khalaf, E. , Alsaadi, F. , Harris, C. (2016) Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems.
Hong, X. and Gao, J. (2016) Manifold optimization for nonnegative coefficient logistic regression.
Chen, H. , Gong, Y. , Hong, X. (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://dx.doi.org/10.1080/00207721.2014.973926
Hong, X. , Chen, S. , Becerra, V. (2016) Sparse density estimator with tunable kernels. Neurocomputing , 173 (3). pp. 1976-1982. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2015.08.021
Chen, H. , Gong, Y. , Hong, X. , 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://dx.doi.org/10.1109/TCYB.2015.2484378
Sun, Y. , Gao, J. , Hong, X. , Mishra, B. , 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://dx.doi.org/10.1109/TPAMI.2015.2465901
Fu, Y. , Gao, J. , Tien, D. , Lin, Z. , Hong, X. (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://dx.doi.org/10.1109/TNNLS.2016.2553155

Hong, X. and Gao, J. (2015) Sparse density estimation on multinomial manifold combining local component analysis.
Hong, X. and Gong, Y. (2015) A constrained recursive least squares algorithm for adaptive combination of multiple models.
Fu, Y. , Gao, J. , Hong, X. , Tien, D. (2015) Low rank representation on Riemannian manifold of symmetric positive definite matrices. Proceedings of the 2015 SIAM International Conference on Data Mining. SIAM pp. 316-324. ISBN: 9781611974010 | doi: https://dx.doi.org/10.1137/1.9781611974010.36
Chen, S. , Hong, X. , Khalaf, E. , Morfeq, A. , Alotaibi, N. (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://dx.doi.org/10.1016/j.dsp.2015.02.006
Hong, X. , Gao, J. , Chen, S. , 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://dx.doi.org/10.1109/TNNLS.2015.2389273
Hong, X. , Chen, S. , Gao, J. , Harris, C. (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://dx.doi.org/10.1109/TCYB.2015.2389524
Hong, X. and Chen, S. (2015) Elastic net orthogonal forward regression. Neurocomputing , 148 pp. 551-560. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2014.07.008

Fu, Y. , Gao, J. , Hong, X. , Tien, D. (2014) Tensor regression based on linked multiway parameter analysis.
Fu, Y. , Gao, J. , Sun, Y. , Hong, X. (2014) Joint multiple dictionary learning for tensor sparse coding.
Chen, S. , Hong, X. , Harris, C. (2014) On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers.
Jiang, X. , Gao, J. , Hong, X. , Cai, Z. (2014) Gaussian processes autoencoder for dimensionality reduction.
Hong, X. , Chen, S. , Harris, C. (2014) B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels.
Sun, Y. , Gao, J. , Hong, X. , Guo, Y. , Harris, C. (2014) Dimensionality reduction assisted tensor clustering.
Hong, X. , Chen, S. , Gong, Y. , Harris, C. (2014) Nonlinear equalization of Hammerstein OFDM systems. IEEE Transactions on Signal Processing , 62 (21). pp. 5629-5639. ISSN: 1053-587X | doi: https://dx.doi.org/10.1109/TSP.2014.2355773
Hong, X. , Gao, J. , Jiang, X. , Harris, C. (2014) Estimation of Gaussian process regression model using probability distance measures. Systems Science & Control Engineering , 2 pp. 655-663. ISSN: 2164-2583 | doi: https://dx.doi.org/10.1080/21642583.2014.970731
Hong, X. , Chen, S. , Harris, C. , Khalaf, E. (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://dx.doi.org/10.1109/TSP.2014.2333555
Hong, X. , Chen, S. , Qatawneh, A. , Daqrouq, K. , Sheikh, M. , 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://dx.doi.org/10.1016/j.asoc.2014.06.003
Chen, H. , Gong, Y. , Hong, X. , 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://dx.doi.org/10.1109/TVT.2014.2313458
Gao, M. , Hong, X. , Chen, S. , Harris, C. , Khalaf, E. (2014) PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. Neurocomputing , 138 pp. 248-259. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2014.02.006
Gao, M. , Hong, X. , Harris, C. (2014) Construction of neurofuzzy models for imbalanced data classification. IEEE Transactions on Fuzzy Systems , 22 (6). pp. 1472-1488. ISSN: 1063-6706 | doi: https://dx.doi.org/10.1109/TFUZZ.2013.2296091
Hong, X. , Gao, J. , Jiang, X. , Harris, C. (2014) Fast identification algorithms for Gaussian process model. Neurocomputing , 133 pp. 25-31. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2013.11.035
Chen, S. , Hong, X. , Gao, J. , Harris, C. (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://dx.doi.org/10.1109/TNNLS.2014.2298535
Gao, M. , Hong, X. , Harris, C. (2014) A unified neurofuzzy model for classification. International Journal of Systems Science , 45 (10). pp. 2158-2171. ISSN: 0020-7721 | doi: https://dx.doi.org/10.1080/00207721.2013.763301
Hong, X. , Iplikci, S. , Chen, S. , 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://dx.doi.org/10.1002/acs.2293

Hong, X. , Chen, S. , Harris, C. (2013) Complex-valued B-spline neural networks for modeling and inverse of Wiener systems. In: Hirose, A. , (eds.) Complex-valued neural networks: advances and applications. Wiley-IEEE press , Hoboken. pp. 209-233. ISBN: 9781118344606
Hong, X. , Guo, Y. , Chen, S. , Gao, J. (2013) Sparse model construction using coordinate descent optimization.
Hong, X. and Chen, S. (2013) A fast algorithm for sparse probability density function construction.
Hong, X. , Chen, S. , Harris, C. (2013) Complex-valued b-spline neural networks for modelling and inverse of wiener systems. In: Hirose, A. , (eds.) Complex-Valued Neural Networks: Advances and Applications. hoboken, NJ, IEEE, WILEY. pp. 209-233. | doi: https://dx.doi.org/10.1002/9781118590072.ch9
Hong, X. , Gao, J. , Chen, S. , Harris, C. (2013) Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing , 122 pp. 210-220. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2013.06.030
Hong, X. , Chen, S. , Qatawneh, A. , Daqrouq, K. , Sheikh, M. , Morfeq, A. (2013) Sparse probability density function estimation using the minimum integrated square error. Neurocomputing , 114 pp. 122-129. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2013.02.003
Hong, X. , Chen, S. , Harris, C. (2013) Elastic-net prefiltering for two-class classification. IEEE Transactions on Cybernetics , 43 (1). pp. 286-295. ISSN: 2168-2267 | doi: https://dx.doi.org/10.1109/TSMCB.2012.2205677
Chen, S. , Hong, X. , Gong, Y. , Harris, C. (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://dx.doi.org/10.1109/TCSI.2012.2226514
Chen, H. , Gong, Y. , Hong, X. (2013) Online modeling with tunable RBF network. IEEE Transactions on Cybernetics , 43 (3). pp. 935-947. ISSN: 2168-2267 | doi: https://dx.doi.org/10.1109/TSMCB.2012.2218804
Hong, X. , Mitchell, R. , 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://dx.doi.org/10.1080/00207721.2012.669863

Li, K. , Hong, X. , Maione, G. , Niu, Q. (2012) Bio-inspired computing and applications (LSMS-ICSEE, 2010). Neurocomputing , 98 pp. 1-3. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2012.05.014
Guo, Y. , Gao, J. , Hong, X. (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 Springer (7691). pp. 433-444. ISBN: 9783642351006 | doi: https://dx.doi.org/10.1007/978-3-642-35101-3_37
Chen, H. , Gong, Y. , Hong, X. (2012) Adaptive noise cancellation with fast tunable RBF network.
Gao, M. , Hong, X. , Harris, C. (2012) A neurofuzzy classifier for two class problems. Proceedings of the UKCI 2012, the 12th UK Workshop on Computational Intelligence. Conference Publications IEEE pp. 1-6. ISBN: 9781467343916 | doi: https://dx.doi.org/10.1109/UKCI.2012.6335763
Hong, X. and Chen, S. (2012) An elastic net orthogonal forward regression algorithm. pp. 1814-1819.
Hong, X. , Iplikci, S. , Chen, S. , Warwick, K. (2012) B-spline neural networks based PID controller for Hammerstein systems. In: Huang, D. , Gupta, P. , Zhang, X. , Premaratne, P. , (eds.) Emerging Intelligent Computing Technology and Applications. Communications in Computer and Information Science , 304. Springer pp. 38-46. | doi: https://dx.doi.org/10.1007/978-3-642-31837-5_6
Hong, X. and Chen, S. (2012) PSO assisted NURB Neural Network Identification.
Hong, X. , Chen, S. , Harris, C. (2012) Modelling and inverting complex-valued Wiener systems.
Gao, M. , Hong, X. , Chen, S. , Harris, C. (2012) Probability density function estimation based over-sampling for imbalanced two-class problems.
Hong, X. 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://dx.doi.org/10.1016/j.neucom.2011.11.016
Hong, X. , Chen, S. , Harris, C. (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://dx.doi.org/10.1007/978-0-85729-974-1_13
Hong, X. , Chen, S. , 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://dx.doi.org/10.1080/00207721.2011.564673
Hong, X. , Mitchell, R. , 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://dx.doi.org/10.1080/00207721.2011.564320

Hong, X. , Mitchell, R. , Chen, S. (2011) Wiener System identification using B-spline functions with De Boor recursion.
Gao, M. , Hong, X. , Chen, S. , Harris, C. (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://dx.doi.org/10.1016/j.neucom.2011.06.010
Hong, X. , Gong, Y. , Chen, S. (2011) A Wiener model for memory high power amplifiers using B-spline function approximation. (ISBN: 9781457702730)
Hong, X. , Gong, Y. , Chen, S. (2011) B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. pp. 30-36.
Gao, M. , Hong, X. , Chen, S. , Harris, C. (2011) On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. pp. 1146-1153.
Hong, X. 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://dx.doi.org/10.1109/TNN.2011.2119328
Chen, S. , Hong, X. , Harris, C. (2011) Grey-box radial basis function modelling. Neurocomputing , 74 (10). pp. 1564-1571. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2011.01.023
Chen, H. , Gong, Y. , Hong, X. (2011) Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence. pp. 2132-2135.

Gong, Y. , Hong, X. , AbuSalem, K. (2010) Adaptive MMSE equalizer with optimum tap-length and decision delay.
Chen, S. , Hong, X. , Harris, C. (2010) Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE pp. 3418-3423. ISBN: 9781424469161 | doi: https://dx.doi.org/10.1109/IJCNN.2010.5596855
Chen, S. , Hong, X. , Harris, C. (2010) Regression based D-optimality experimental design for sparse kernel density estimation. Neurocomputing , 73 (4-6). pp. 727-739. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2009.11.002
Chen, S. , Hong, X. , Harris, C. (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://dx.doi.org/10.1109/TSMCB.2009.2034732
Chen, S. , Hong, X. , Harris, C. (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://dx.doi.org/10.1109/TEVC.2009.2035921
Hong, X. , Chen, S. , Harris, C. (2010) Sparse kernel density estimation technique based on zero-norm constraint. The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE pp. 3782-3787. ISBN: 9781424469161 | doi: https://dx.doi.org/10.1109/IJCNN.2010.5596853

Hong, . and Chen, . (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://dx.doi.org/10.1109/tsmcb.2008.2005124
Gong, . and Hong, . (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://dx.doi.org/10.1109/tsp.2009.2018362
Gong, . and Hong, . (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://dx.doi.org/10.1016/j.sigpro.2008.10.006
Chen, . , Hong, . , Luk, . , Harris, . (2009) Orthogonal-least-squares regression: A unified approach for data modelling. Neurocomputing , 72 (10-12). pp. 2670-2681. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2008.10.002
Chen, . , Hong, . , Luk, . , Harris, . (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://dx.doi.org/10.1109/tsmcb.2008.2006688
Chen, . , Harris, . , Hong, . , Luk, . (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://dx.doi.org/10.1504/IJBIC.2009.024723
Chen, . , Hong, . , Luk, . , Harris, . (2009) A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. IEEE pp. 6762-6767. ISBN: 9781424438716 | doi: https://dx.doi.org/10.1109/CDC.2009.5399687
Chen, . , Hong, . , Harris, . (2009) Grey-box radial basis function modelling: the art of incorporating prior knowledge. IEEE | doi: https://dx.doi.org/10.1109/SSP.2009.5278559
Hong, . and Zhu, . (2009) An on-line algorithm of uncertain time delay estimation in a continuous system. 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

Li, . , Irwin, . , Hong, . (2008) Life system modelling, simulation, and bio-inspired computing (LSMS 2007). Neurocomputing , 72 (1-3). pp. 126-127. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2008.08.001
Hong, . , Mitchell, . , Chen, . , Harris, . , Li, . , Irwin, . (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://dx.doi.org/10.1080/00207720802083018
Hong, . , Chen, . , Harris, . (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://dx.doi.org/10.1109/tnn.2008.2003251
Hong, . , Chen, . , Harris, . (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://dx.doi.org/10.1080/00207720701727822
Hong, . , Chen, . , Harris, . (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://dx.doi.org/10.1109/tnn.2007.908645
Hong, . and Chen, . (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://dx.doi.org/10.1007/s11633-008-0284-8
Chen, . , Hong, . , Harris, . , Hanzo, . (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://dx.doi.org/10.1016/j.neucom.2007.12.003
Chen, . , Hong, . , Harris, . (2008) An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing , 71 (4-6). pp. 931-943. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2007.02.008
Chen, . , Hong, . , Harris, . (2008) Sparse kernel density estimator using orthogonal regression based on D-optimality experimental design. IEEE | doi: https://dx.doi.org/10.1109/IJCNN.2008.4633758
Chen, . , Hong, . , Harris, . (2008) Fully complex-valued radial basis function networks for orthogonal least squares regression. IEEE | doi: https://dx.doi.org/10.1109/IJCNN.2008.4633759
Gong, . and Hong, . (2008) A new algorithm for OFDM joint data detection and phase noise cancellation. 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

Zong, . and Hong, . (2007) A multi-level probabilistic neural network. Lecture Notes in Computer Science , 4492 pp. 516-525. ISSN: 0302-9743 9783540723929
Zong, . and Hong, . (2007) A forward constrained selection algorithm for probabilistic neural network. Lecture Notes in Computer Science , 4492 pp. 699-704. ISSN: 0302-9743 9783540723929
Hong, . and Mitchell, . (2007) Hammerstein model identification algorithm using Bezier-Bernstein approximation. IET Control Theory and Applications , 1 (4). pp. 1149-1159. ISSN: 1751-8644 | doi: https://dx.doi.org/10.1049/iet-cta:20060018
Hong, . and Mitchell, . (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://dx.doi.org/10.1080/00207720601051463
Hong, . , Chen, . , Harris, . (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://dx.doi.org/10.1109/TNN.2006.882812
Hong, . (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://dx.doi.org/10.1049/iet-cta:20050039
Chen, . , Hong, . , Harris, . (2007) Probability density function estimation using orthogonal forward regression. IEEE | doi: https://dx.doi.org/10.1109/IJCNN.2007.4371350
Chen, . , Hong, . , Harris, . (2007) Sparse kernel modelling: a unified approach. Springer-Verlag
Hong, . , Chen, . , Harris, . (2007) A sparse kernel density estimation algorithm using forward constrained regression. In: Huang, . , Heutte, . , Loog, . , (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, . and Harwin, . (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://dx.doi.org/10.1504/IJMIC.2006.012620
Hong, . , Chen, . , Harris, . (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://dx.doi.org/10.1007/11816157_11
Hong, . (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://dx.doi.org/10.1109/tnn.2006.875986
Chen, . , Wang, . , Hong, . , Harris, . (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://dx.doi.org/10.1109/tnn.2006.881487
Hong, . and Mitchell, . (2006) A pole assignment controller for Bezier-Bernstein polynomial based Hammerstein model - Paper ID 95. ISBN: 947649549
Hong, . and Mitchell, . (2006) Bezier-Bernstein polynomial based Hammerstein model and identification algorithm - Paper ID23. ISBN: 0-9475-4954-9
Chen, . , Hong, . , Harris, . (2006) Construction of RBF classifiers with tunable units using orthonogal forward selection based on leave-one-out misclassification rate. pp. 6390 - 6394.

Zong, . and Hong, . (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://dx.doi.org/10.1080/00207720500218908
Zong, . and Hong, . (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://dx.doi.org/10.1109/tsmcb.2004.839908
Hong, . and Chen, . (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://dx.doi.org/10.1109/tsmcb.2004.839910
Chen, . , Hong, . , Harris, . , Wang, . (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://dx.doi.org/10.1109/tcst.2004.841652
Chen, . , Hong, . , Harris, . (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, . and Chen, . (2005) A forward regression algorithm based on M-estimators.
Hong, . (2005) A modified gradient descent nonlinear model parameter estimation algorithm by using combined micro-GA and constrained optimization.
Hong, . (2005) Identification of Box-Cox radial basis function neural network.
Chen, . , Hong, . , Wang, . , Harris, . (2005) Sparse generalised kernel modelling for nonlinear systems.
Hong, . and Harris, . (2005) Neurofuzzy model construction, design and estimation . In: Ruano, . , (eds.) Intelligent Control Systems using Computational Intelligence Techniques. IEE Publishing , London UK. pp. 219 - 252.

Hong, . , Harris, . , Chen, . (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://dx.doi.org/10.1109/tsmcb.2003.817089
Hong, . , Chen, . , Sharkey, . (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, . , Brown, . , Chen, . , Harris, . (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://dx.doi.org/10.1049/ip-cta:20040693
Hong, . , Brown, . , Chen, . (2004) Backward elimination methods for associative memory network pruning. International Journal of Hybrid Intelligent Systems , 1 (1-2). pp. 90-98.
Chen, . , Hong, . , Harris, . , Sharkey, . (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://dx.doi.org/10.1109/tsmcb.2003.817107
Chen, . , Hong, . , Harris, . (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://dx.doi.org/10.1109/tsmcb.2004.828199
Chen, . , Hong, . , Harris, . (2004) Kernel density construction using orthogonal forward regression. Lecture Notes in Computer Science , 3177 pp. 586-592. ISSN: 0302-9743 3-540-22881-0
Zong, . and Hong, . (2004) On improvement of classification accuracy for stochastic discrimination-multi-class Classification.
Zong, . and Hong, . (2004) Improvement of classification accuracy for stochastic discrimination - Multi-class classification. In: Chu, . , Savoie, . , Sanchez, . , (eds.) International Conference on Computing, Communications and Control Technologies, Vol 2, Proceedings. Int Inst Informatics & Systemics , Orlando. pp. 17-22. ISBN: 9806560175
Zong, . and Hong, . (2004) RBF equalizer design using directional evolutionary multi-objective optimization. In: Chu, . , Savoie, . , Toraichi, . , Kwan, . , (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. (2003) Orthogonal forward regression based on directly maximizing model generalization capability. In: Hu, H. , Yue, Y. , Zhao, Z. , (eds.) Proceedings of the 2003 Chinese automation & computing society conference in the UK 2003 . Pacilantic International pp. 251-256. ISBN: 9780953389063
Zong, . and Hong, . (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, . , Harris, . , Hong, . (2003) A line of sight counteraction navigation algorithm for ship encounter collision avoidance. Journal of Navigation , 56 (1). pp. 111-121.
Hong, . , Sharkey, . , Warwick, . (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://dx.doi.org/10.1049/ip-cta:20030311
Hong, . , Sharkey, . , Warwick, . (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://dx.doi.org/10.1109/tnn.2003.809422
Hong, . , Harris, . , Chen, . , Sharkey, . (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://dx.doi.org/10.1109/tsmca.2003.809217
Hong, . and Harris, . (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://dx.doi.org/10.1080/00207720310001640223
Hong, . and Harris, . (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://dx.doi.org/10.1109/tfuzz.2003.814842
Hong, . , Brown, . , Harris, . , Chen, . (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.
Chen, . , Hong, . , Harris, . (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://dx.doi.org/10.1109/tac.2003.812790
Chen, . , Hong, . , Harris, . (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://dx.doi.org/10.1049/ip-cta:20030253
Harris, . and Hong, . (2003) Neurofuzzy model construction and knowledge extraction using subspace decomposition.
Hong, . , Harris, . , Chen, . , Sharkey, . (2003) Robust identification for linear-in-the-parameters models. In: Ruano, . , Ruano, . , Fleming, . , (eds.) Intelligent Control Systems and Signal Processing 2003. Ifac Proceedings Series Pergamon-Elsevier Science Ltd , Kidlington. pp. 273-278. ISBN: 80440886

Harris, C. , Hong, X. , Gan, Q. (2002) Adaptive modelling, estimation and fusion from data: a neurofuzzy approach. Advanced Information Processing Springer , Berlin. pp 339. ISBN: 9783540426868
Harris, C. and Hong, X. (2002) Neurofuzzy state space modelling and control using Kalman filtering state feedback with coloured noise. pp 502.
Chen, S. , Hong, X. , Harris, C. (2002) Sparse data modelling using combined locally regularized orthogonal least squares and D-optimality design.
Hong, X. and Harris, C. (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://dx.doi.org/10.1023/A:1012869427428
Hong, X. and Harris, C. (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://dx.doi.org/10.1109/TNN.2002.1031959

Harris, C. and Hong, X. (2001) Neurofuzzy approaches to intelligent collision avoidance problems in (semi) autonomous transportation. pp. 517-522.
Harris, C. and Hong, X. (2001) Parallel neurofuzzy learning and construction algorithm.
Harris, C. and Hong, X. (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://dx.doi.org/10.1177/095965180121500501
Hong, X. and Harris, C. (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://dx.doi.org/10.1109/91.917117
Hong, X. and Harris, C. (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://dx.doi.org/10.1109/72.914539
Hong, X. and Harris, C. (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://dx.doi.org/10.1049/ip-cta:20010704
Harris, C. and Hong, X. (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://dx.doi.org/10.1049/ip-cta:20010758

Harris, C. and Hong, X. (2000) Data based constructive identification - overcoming the curse of dimensionality.
Harris, C. , Hong, X. , Gan, Q. (2000) Neurofuzzy state estimators. In: Sinha, N. and Gupta, M. , (eds.) Soft computing and intelligent systems: theory and applications. Academic Press pp. 377-402. ISBN: 9780126464900
Hong, X. and Harris, C. (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://dx.doi.org/10.1109/72.857770
Harris, C. and Hong, X. (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://dx.doi.org/10.1049/ip-cta:20000394

Harris, C. , Hong, X. , Wilson, P. (1999) An intelligent guidance and control system for ship obstacle avoidance. pp. 135-140.
Hong, X. , Harris, C. , Wilson, P. (1999) Autonomous ship collision free trajectory navigation and control algorithms. Proceedings of EFTA '99: the7th IEEE International Conference on Emerging Technologies and Factory Automation. , 2. IEEE Press , Barcelona, Spain. pp. 923-929. ISBN: 780356705 | doi: https://dx.doi.org/10.1109/ETFA.1999.813090
Harris, C. , Hong, X. , Feng, M. (1999) Optimal piecewise locally linear modeling. pp. 486. ISSN: 0277786X | doi: https://dx.doi.org/10.1117/12.342906
Hong, X. and Billings, S. (1999) Time series multistep-ahead predictability estimation and ranking. Journal of Forecasting , 18 (2). pp. 139-149. ISSN: 0277-6693 | doi: https://dx.doi.org/10.1002/(SICI)1099-131X(199903)18:2<139::AID-FOR710>3.0.CO;2-W
Hong, X. and Billings, S. (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://dx.doi.org/10.1049/ip-cta:19990505
Hong, X. , Harris, C. , Wilson, P. (1999) Neurofuzzy state identification using prefiltering. IEE Proceedings-Control Theory and Applications , 146 (2). pp. 234-240. ISSN: 1350-2379 | doi: https://dx.doi.org/10.1049/ip-cta:19990121
Harris, C. , Hong, X. , Wilson, P. (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://dx.doi.org/10.1243/0959651991540179

Billings, S. and Hong, X. (1998) Dual-orthogonal radial basis function networks for nonlinear time series prediction. Neural Networks , 11 (3). pp. 479-493. ISSN: 0893-6080 | doi: https://dx.doi.org/10.1016/S0893-6080(97)00132-9

Hong, X. and Billings, S. (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://dx.doi.org/10.1049/ip-cta:19971436

Professor Xia Hong

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Professor Xia Hong

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