Xia Hong

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 42

Top Venues

IJCNN

CoRR

Neurocomputing

IEEE Trans. Neural Networks Learn. Syst.

Publications

Hong Wei, James Xiao, Yichao Zhang, Xia Hong
Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE. CoRR (2024)
Perusha Moodley, Pramod Kaushik, Dhillu Thambi, Mark Trovinger, Praveen Paruchuri, Xia Hong, Benjamin Rosman
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces. CoRR (2024)
Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes. IEEE Trans Autom. Sci. Eng. 21 (1) (2024)
Alejandro Rodríguez Domínguez, Muhammad Shahzad, Xia Hong
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction. CoRR (2023)
Emmanuel Osei-Brefo, Richard J. Mitchell, Xia Hong
Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction. SGAI Conf. (2023)
Jingxin Zhang, Maoyin Chen, Xia Hong
Monitoring Multimode Nonlinear Dynamic Processes: An Efficient Sparse Dynamic Approach With Continual Learning Ability. IEEE Trans. Ind. Informatics 19 (7) (2023)
Xia Hong, Junbin Gao, Hong Wei, James Xiao, Richard J. Mitchell
Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing 519 (2023)
Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong
ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. CIKM (2023)
Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra-Supercritical Thermal Power Plant. IEEE Trans Autom. Sci. Eng. 20 (1) (2023)
Shadi Al Amoudi, Xia Hong, Hong Wei
Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space. UKCI (2022)
Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring. CoRR (2022)
Jingxin Zhang, Maoyin Chen, Xia Hong
Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing 458 (2021)
Feng Yu, Xia Hong
Parameter tracking of time-varying Hammerstein-Wiener systems. Int. J. Syst. Sci. 52 (16) (2021)
Xia Hong, Junbin Gao
Estimating the square root of probability density function on Riemannian manifold. Expert Syst. J. Knowl. Eng. 38 (7) (2021)
Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
Coupling matrix manifolds assisted optimization for optimal transport problems. Mach. Learn. 110 (3) (2021)
Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. CoRR (2020)
Xia Hong, Junbin Gao, Sheng Chen
Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. J. Frankl. Inst. 357 (9) (2020)
Jingxin Zhang, Maoyin Chen, Hao Chen, Xia Hong, Donghua Zhou
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. CoRR (2020)
Shadi Alamoudi, Xia Hong, Hong Wei
Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering. IJCNN (2020)
Xia Hong, Hong Wei, Junbin Gao
Nonlinear Logistic Regression Model Based On Simplex Basis Function. IJCNN (2020)
Xia Hong, Richard J. Mitchell, Giuseppe Di Fatta
Simplex basis function based sparse least squares support vector regression. Neurocomputing 330 (2019)
Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
Coupling Matrix Manifolds and Their Applications in Optimal Transport. CoRR (2019)
Perusha Moodley, Benjamin Rosman, Xia Hong
Understanding Structure of Concurrent Actions. SGAI Conf. (2019)
Manjing Fang, Di Xu, Xia Hong, Junbin Gao
Sparse Least Squares Low Rank Kernel Machines. CoRR (2019)
Di Xu, Manjing Fang, Xia Hong, Junbin Gao
Sparse Least Squares Low Rank Kernel Machines. ICONIP (2) (2019)
Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong
An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring. IEEE Trans. Cybern. 49 (1) (2019)
Xia Hong, Giuseppe Di Fatta, Hao Chen, Senlin Wang
Sparse least squares support vector regression for nonstationary systems. IJCNN (2018)
Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong
Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN (2018)
Sheng Chen, Xia Hong, Emad Khalaf, Ali Morfeq, Naif D. Alotaibi, Chris J. Harris
Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier. IEEE Trans. Wirel. Commun. 16 (5) (2017)
Xia Hong, Junbin Gao, Sheng Chen
Zero-Attracting Recursive Least Squares Algorithms. IEEE Trans. Veh. Technol. 66 (1) (2017)
Xia Hong, Sheng Chen
Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion. Int. J. Autom. Comput. 14 (4) (2017)
Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
l1-norm penalised orthogonal forward regression. Int. J. Syst. Sci. 48 (10) (2017)
Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris
Comparative Performance of Complex-Valued B-Spline and Polynomial Models Applied to Iterative Frequency-Domain Decision Feedback Equalization of Hammerstein Channels. IEEE Trans. Neural Networks Learn. Syst. 28 (12) (2017)
Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris
Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. IJCNN (2016)
Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin, Xia Hong
Tensor LRR and Sparse Coding-Based Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 27 (10) (2016)
Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 38 (3) (2016)
Hao Chen, Yu Gong, Xia Hong, Sheng Chen
A Fast Adaptive Tunable RBF Network For Nonstationary Systems. IEEE Trans. Cybern. 46 (12) (2016)
Hao Chen, Yu Gong, Xia Hong
A new adaptive multiple modelling approach for non-linear and non-stationary systems. Int. J. Syst. Sci. 47 (9) (2016)
Xia Hong, Junbin Gao
A Fast Algorithm to Estimate the Square Root of Probability Density Function. SGAI Conf. (2016)
Xia Hong, Junbin Gao
Manifold optimization for nonnegative coefficient logistic regression. IJCNN (2016)
Xia Hong, Sheng Chen, Victor M. Becerra
Sparse density estimator with tunable kernels. Neurocomputing 173 (2016)
Xia Hong, Qinghai Liu
Degree condition for completely independent spanning trees. Inf. Process. Lett. 116 (10) (2016)
Xia Hong, Sheng Chen
Elastic net orthogonal forward regression. Neurocomputing 148 (2015)
Yifan Fu, Junbin Gao, Xia Hong, David Tien
Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. SDM (2015)
Sheng Chen, Xia Hong, Emad Khalaf, Ali Morfeq, Naif D. Alotaibi
Adaptive B-spline neural network based nonlinear equalization for high-order QAM systems with nonlinear transmit high power amplifier. Digit. Signal Process. 40 (2015)
Yifan Fu, Junbin Gao, Xia Hong, David Tien
Low Rank Representation on Riemannian Manifold of Square Root Densities. CoRR (2015)
Xia Hong, Sheng Chen, Junbin Gao, Chris J. Harris
Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. IEEE Trans. Cybern. 45 (12) (2015)
Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
l1-norm Penalized Orthogonal Forward Regression. CoRR (2015)
Xia Hong, Junbin Gao, Sheng Chen, Tanveer A. Zia
Sparse Density Estimation on the Multinomial Manifold. IEEE Trans. Neural Networks Learn. Syst. 26 (11) (2015)
Xia Hong, Junbin Gao
Sparse density estimation on multinomial manifold combining local component analysis. IJCNN (2015)
Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. CoRR (2015)
Xia Hong, Yu Gong
A constrained recursive least squares algorithm for adaptive combination of multiple models. IJCNN (2015)
Ming Gao, Xia Hong, Chris J. Harris
Construction of Neurofuzzy Models For Imbalanced Data Classification. IEEE Trans. Fuzzy Syst. 22 (6) (2014)
Ming Gao, Xia Hong, Chris J. Harris
A unified neurofuzzy model for classification. Int. J. Syst. Sci. 45 (10) (2014)
Xia Hong, Sheng Chen, Yu Gong, Chris J. Harris
Nonlinear Equalization of Hammerstein OFDM Systems. IEEE Trans. Signal Process. 62 (21) (2014)
Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai
Gaussian Processes Autoencoder for Dimensionality Reduction. PAKDD (2) (2014)
Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris
Fast identification algorithms for Gaussian process model. Neurocomputing 133 (2014)
Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf
PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. Neurocomputing 138 (2014)
Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris
Dimensionality reduction assisted tensor clustering. IJCNN (2014)
Yifan Fu, Junbin Gao, Xia Hong, David Tien
Tensor Regression Based on Linked Multiway Parameter Analysis. ICDM (2014)
Sheng Chen, Xia Hong, Junbin Gao, Chris J. Harris
Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. IEEE Trans. Neural Networks Learn. Syst. 25 (9) (2014)
Xia Hong, Sheng Chen, Chris J. Harris
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. IJCNN (2014)
Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf
Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks. IEEE Trans. Signal Process. 62 (17) (2014)
Yifan Fu, Junbin Gao, Yanfeng Sun, Xia Hong
Joint multiple dictionary learning for Tensor sparse coding. IJCNN (2014)
Sheng Chen, Xia Hong, Chris J. Harris
On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers. IJCNN (2014)
Xia Hong, Sheng Chen, Abdulrohman Qatawneh, Khaled Daqrouq, Muntasir Sheikh, Ali Morfeq
A radial basis function network classifier to maximise leave-one-out mutual information. Appl. Soft Comput. 23 (2014)
Hao Chen, Yu Gong, Xia Hong, Sheng Chen
Adaptive Nonlinear Equalizer Using a Mixture of Gaussian-Based Online Density Estimator. IEEE Trans. Veh. Technol. 63 (9) (2014)
Xia Hong, Junbin Gao, Sheng Chen, Chris J. Harris
Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing 122 (2013)
Xia Hong, Richard J. Mitchell, Sheng Chen
System identification of Wiener systems with B-spline functions using De Boor recursion. Int. J. Syst. Sci. 44 (9) (2013)
Xia Hong, Sheng Chen
A fast algorithm for sparse probability density function construction. DSP (2013)
Xia Hong, Sheng Chen, Abdulrohman Qatawneh, Khaled Daqrouq, Muntasir Sheikh, Ali Morfeq
Sparse probability density function estimation using the minimum integrated square error. Neurocomputing 115 (2013)
Xia Hong, Sheng Chen, Chris J. Harris
Elastic-Net Prefiltering for Two-Class Classification. IEEE Trans. Cybern. 43 (1) (2013)
Xia Hong, Yi Guo, Sheng Chen, Junbin Gao
Sparse model construction using coordinate descent optimization. DSP (2013)
Sheng Chen, Xia Hong, Yu Gong, Chris J. Harris
Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm. IEEE Trans. Circuits Syst. I Regul. Pap. (6) (2013)
Hao Chen, Yu Gong, Xia Hong
Online Modeling With Tunable RBF Network. IEEE Trans. Cybern. 43 (3) (2013)
Xia Hong, Sheng Chen
The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization. Neurocomputing 82 (2012)
Xia Hong, Serdar Iplikci, Sheng Chen, Kevin Warwick
B-Spline Neural Networks Based PID Controller for Hammerstein Systems. ICIC (3) (2012)
Ming Gao, Xia Hong, Chris J. Harris
A neurofuzzy classifier for two class problems. UKCI (2012)
Xia Hong, Richard J. Mitchell, Sheng Chen
Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm. Int. J. Syst. Sci. 43 (10) (2012)
Xia Hong, Sheng Chen
PSO Assisted NURB Neural Network Identification. ICIC (1) (2012)
Xia Hong, Sheng Chen, Chris J. Harris
Using zero-norm constraint for sparse probability density function estimation. Int. J. Syst. Sci. 43 (11) (2012)
Kang Li, Xia Hong, Guido Maione, Qun Niu
Bio-inspired computing and applications (LSMS-ICSEE, 2010). Neurocomputing 98 (2012)
Xia Hong, Sheng Chen, Chris J. Harris
Modelling and inverting complex-valued wiener systems. IJCNN (2012)
Yi Guo, Junbin Gao, Xia Hong
Constrained Grouped Sparsity. Australasian Conference on Artificial Intelligence (2012)
Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
Probability density function estimation based over-sampling for imbalanced two-class problems. IJCNN (2012)
Xia Hong, Yu Gong, Sheng Chen
B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. IJCNN (2011)
Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. IJCNN (2011)
Xia Hong, Yu Gong, Sheng Chen
A Wiener model for memory high power amplifiers using B-spline function approximation. DSP (2011)
Hao Chen, Yu Gong, Xia Hong
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence. ICASSP (2011)
Xia Hong, Sheng Chen
Modeling of Complex-Valued Wiener Systems Using B-Spline Neural Network. IEEE Trans. Neural Networks 22 (5) (2011)
Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems. Neurocomputing 74 (17) (2011)
Sheng Chen, Xia Hong, Chris J. Harris
Grey-box radial basis function modelling. Neurocomputing 74 (10) (2011)
Sheng Chen, Xia Hong, Chris J. Harris
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. IEEE Trans. Evol. Comput. 14 (4) (2010)
Xia Hong, Sheng Chen, Chris J. Harris
Sparse kernel density estimation technique based on zero-norm constraint. IJCNN (2010)
Sheng Chen, Xia Hong, Chris J. Harris
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. IJCNN (2010)
Sheng Chen, Xia Hong, Chris J. Harris
Regression based D-optimality experimental design for sparse kernel density estimation. Neurocomputing 73 (4-6) (2010)
Sheng Chen, Xia Hong, Chris J. Harris
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression. IEEE Trans. Syst. Man Cybern. Part B 40 (4) (2010)
Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
Orthogonal-least-squares regression: A unified approach for data modelling. Neurocomputing 72 (10-12) (2009)
Xia Hong, Sheng Chen
A New RBF Neural Network With Boundary Value Constraints. IEEE Trans. Syst. Man Cybern. Part B 39 (1) (2009)
Yu Gong, Xia Hong
OFDM joint data detection and phase noise cancellation for constant modulus modulations. IEEE Trans. Signal Process. 57 (7) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xia Hong