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 1872-8286 doi: https://doi.org/10.1016/j.neucom.2024.128642

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)

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

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)

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, 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

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

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.

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

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

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.

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

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.

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

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.

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

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.

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

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., 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. 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.

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

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.

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

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, 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) 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

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

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

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

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.

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 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 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

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

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.

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

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, 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, 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. (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) 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

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

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

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., 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., 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 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

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

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 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, 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

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

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

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

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

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.

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. (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 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, 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

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, 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

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 (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

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.

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.

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

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

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.

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

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

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, 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

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.

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

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

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.

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

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

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.

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 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) 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

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.

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

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 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

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

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

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

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.

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