Xia Hong

2009
31	EE	Yu Gong, Xia Hong: OFDM joint data detection and phase noise cancellation based on minimum mean square prediction error. Signal Processing 89(4): 502-509 (2009)
2008
30	EE	Xia Hong, Ning Hui-ming, Yan Jiang-yu: The Realization and Optimization of Secure Hash Algorithm (SHA-1) Based on LEON2 Coprocessor. CSSE (3) 2008: 853-858
29	EE	Yu Gong, Xia Hong: A New Algorithm for OFDM Joint Data Detection and Phase Noise Cancellation. ICC 2008: 636-640
28	EE	Sheng Chen, Xia Hong, Chris J. Harris: Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. IJCNN 2008: 1-6
27	EE	Sheng Chen, Xia Hong, Chris J. Harris: Fully complex-valued radial basis function networks for orthogonal least squares regression. IJCNN 2008: 7-12
26	EE	Xia Hong, Sheng Chen, Chris J. Harris: A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. IEEE Transactions on Neural Networks 19(1): 193-198 (2008)
25	EE	Xia Hong, Sheng Chen, Chris J. Harris: A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. Int. J. Systems Science 39(2): 119-125 (2008)
24	EE	Sheng Chen, Xia Hong, Chris J. Harris: An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing 71(4-6): 931-943 (2008)
23	EE	Kang Li, Xia Hong, George W. Irwin: Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007). Neurocomputing 72(1-3): 126-127 (2008)
2007
22	EE	Xia Hong, Sheng Chen, Chris Harris: A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression. ICIC (3) 2007: 1354-1363
21	EE	Sheng Chen, Xia Hong, Chris J. Harris: Sparse Kernel Modelling: A Unified Approach. IDEAL 2007: 27-36
20	EE	Sheng Chen, Xia Hong, Chris J. Harris: Probability Density Function Estimation Using Orthogonal Forward Regression. IJCNN 2007: 2492-2497
19	EE	Ning Zong, Xia Hong: A Multi-Level Probabilistic Neural Network. ISNN (2) 2007: 516-525
18	EE	Ning Zong, Xia Hong: A Forward Constrained Selection Algorithm for Probabilistic Neural Network. ISNN (2) 2007: 699-704
17	EE	Xia Hong, Sheng Chen, Chris J. Harris: A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. IEEE Transactions on Neural Networks 18(1): 28-41 (2007)
2006
16	EE	Xia Hong, Sheng Chen, Chris J. Harris: Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate. ICIC (1) 2006: 106-114
15	EE	Sheng Chen, Chris J. Harris, Xia Hong: Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. IJCNN 2006: 3358-3362
14	EE	Xia Hong: A fast identification algorithm for box-cox transformation based radial basis function neural network. IEEE Transactions on Neural Networks 17(4): 1064-1069 (2006)
13	EE	Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris: Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. IEEE Transactions on Neural Networks 17(6): 1652-1656 (2006)
2005
12	EE	Sheng Chen, Xia Hong, Chris J. Harris: Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. ICIC (1) 2005: 777-786
11	EE	Ning Zong, Xia Hong: On improvement of classification accuracy for stochastic discrimination. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(1): 142-149 (2005)
10	EE	Xia Hong, Sheng Chen: M-estimator and D-optimality model construction using orthogonal forward regression. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(1): 155-162 (2005)
2004
9	EE	Sheng Chen, Xia Hong, Chris J. Harris: Kernel Density Construction Using Orthogonal Forward Regression. IDEAL 2004: 586-592
8	EE	Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey: Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(2): 898-911 (2004)
7	EE	Sheng Chen, Xia Hong, Chris J. Harris: Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(4): 1708-1717 (2004)
6	EE	Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen: Backward Elimination Methods for Associative Memory Network Pruning. Int. J. Hybrid Intell. Syst. 1(2): 90-98 (2004)
5	EE	Xia Hong, Sheng Chen, Paul M. Sharkey: Automatic Kernel Regression Modelling Using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares. Int. J. Neural Syst. 14(1): 27-37 (2004)
2003
4		Xia Hong, Chris J. Harris, Sheng Chen, Paul M. Sharkey: Robust nonlinear model identification methods using forward regression. IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(4): 514-523 (2003)
2002
3		Chris J. Harris, Xia Hong, Qiang Gan: Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach Springer 2002
2		Xia Hong, Chris J. Harris: A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. Appl. Intell. 16(1): 59-69 (2002)
1998
1	EE	Stephen A. Billings, Xia Hong: Dual-orthogonal radial basis function networks for nonlinear time series prediction. Neural Networks 11(3): 479-493 (1998)

Coauthor Index

1	Stephen A. Billings (S. A. Billings)	[1]
2	Martin Brown	[6]
3	Sheng Chen	[4] [5] [6] [7] [8] [9] [10] [12] [13] [15] [16] [17] [20] [21] [22] [24] [25] [26] [27] [28]
4	Qiang Gan	[3]
5	Yu Gong	[29] [31]
6	Chris Harris	[22]
7	Chris J. Harris	[2] [3] [4] [6] [7] [8] [9] [12] [13] [15] [16] [17] [20] [21] [24] [25] [26] [27] [28]
8	Ning Hui-ming	[30]
9	George W. Irwin	[23]
10	Yan Jiang-yu	[30]
11	Kang Li	[23]
12	Paul M. Sharkey	[4] [5] [8]
13	Xunxian Wang	[13]
14	Ning Zong	[11] [18] [19]

Colors in the list of coauthors