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Xia Hong
Xia Hong
Professor of Computational Intelligence, University of Reading
Verified email at reading.ac.uk
Title
Cited by
Cited by
Year
Sparse modeling using orthogonal forward regression with PRESS statistic and regularization
S Chen, X Hong, CJ Harris, PM Sharkey
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004
3142004
Model selection approaches for non-linear system identification: a review
X Hong, RJ Mitchell, S Chen, CJ Harris, K Li, GW Irwin
International journal of systems science 39 (10), 925-946, 2008
2822008
Adaptive modelling, estimation and fusion from data: a neurofuzzy approach
C Harris, X Hong, Q Gan
Springer Science & Business Media, 2012
2652012
A kernel-based two-class classifier for imbalanced data sets
X Hong, S Chen, CJ Harris
IEEE Transactions on neural networks 18 (1), 28-41, 2007
2182007
A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems
M Gao, X Hong, S Chen, CJ Harris
Neurocomputing 74 (17), 3456-3466, 2011
1692011
Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design
S Chen, X Hong, CJ Harris
IEEE Transactions on Automatic Control 48 (6), 1029-1036, 2003
1492003
Non-linear system identification using particle swarm optimisation tuned radial basis function models
S Chen, X Hong, BL Luk, CJ Harris
International Journal of Bio-Inspired Computation 1 (4), 246-258, 2009
1022009
Automatic nonlinear predictive model-construction algorithm using forward regression and the PRESS statistic
X Hong, PM Sharkey, K Warwick
IEE Proceedings-Control Theory and Applications 150 (3), 245-254, 2003
972003
A line of sight counteraction navigation algorithm for ship encounter collision avoidance
PA Wilson, CJ Harris, X Hong
The Journal of Navigation 56 (1), 111-121, 2003
922003
Particle swarm optimization aided orthogonal forward regression for unified data modeling
S Chen, X Hong, CJ Harris
IEEE Transactions on Evolutionary Computation 14 (4), 477-499, 2010
862010
Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization
S Chen, X Hong, CJ Harris
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004
862004
Nonlinear model structure design and construction using orthogonal least squares and D-optimality design
X Hong, CJ Harris
IEEE Transactions on Neural Networks 13 (5), 1245-1250, 2002
772002
Heterogeneous tensor decomposition for clustering via manifold optimization
Y Sun, J Gao, X Hong, B Mishra, B Yin
IEEE transactions on pattern analysis and machine intelligence 38 (3), 476-489, 2015
762015
Online modeling with tunable RBF network
H Chen, Y Gong, X Hong
IEEE transactions on cybernetics 43 (3), 935-947, 2013
722013
Construction of tunable radial basis function networks using orthogonal forward selection
S Chen, X Hong, BL Luk, CJ Harris
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008
702008
Tensor LRR and sparse coding-based subspace clustering
Y Fu, J Gao, D Tien, Z Lin, X Hong
IEEE transactions on neural networks and learning systems 27 (10), 2120-2133, 2016
672016
Dual-orthogonal radial basis function networks for nonlinear time series prediction
SA Billings, X Hong
Neural Networks 11 (3), 479-493, 1998
671998
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring
J Zhang, H Chen, S Chen, X Hong
IEEE transactions on cybernetics 49 (1), 198-210, 2017
642017
An orthogonal forward regression technique for sparse kernel density estimation
S Chen, X Hong, CJ Harris
Neurocomputing 71 (4-6), 931-943, 2008
632008
PDFOS: PDF estimation based over-sampling for imbalanced two-class problems
M Gao, X Hong, S Chen, CJ Harris, E Khalaf
Neurocomputing 138, 248-259, 2014
612014
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