| 2025 | IJCNN | M-SAT: Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Actions. | Perusha Moodley, Dhillu Thambi, Mark Trovinger, Pramod Kaushik, Praveen Paruchuri, Xia Hong, Benjamin Rosman |
| 2025 | ISCAS | Classification-Based False Alarm Suppression for SAR Target Detection. | Nan Yang, Libo Huang, Zhulin An, Yongjun Xu, Xia Hong, Wing-Kuen Ling |
| 2024 | ICPR | Deep Learning in Automated Worm Identification and Tracking for C. Elegan Mating Behaviour Analysis. | Chukwuma Hilary Akpu, Hong Wei, Xia Hong |
| 2024 | IJCNN | A Semi-Supervised Clustering Approach Using Nonlinear Canonical Correlation Analysis with t-SNE. | Xia Hong, James Xiao, Hong Wei |
| 2024 | IJCNN | Learning a Strategy for Preference Elicitation in Conversational Recommender Systems. | Aleksandra Makarova, Muhammad Shahzad, Xia Hong, Martin Lester |
| 2024 | SGAI | Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction. | Alejandro Rodrguez Domnguez, Muhammad Shahzad, Xia Hong |
| 2023 | CIKM | ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. | Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong |
| 2023 | SGAI | Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction. | Emmanuel Osei-Brefo, Richard J. Mitchell, Xia Hong |
| 2020 | IJCNN | Nonlinear Logistic Regression Model Based On Simplex Basis Function. | Xia Hong, Hong Wei, Junbin Gao |
| 2020 | IJCNN | Plant Leaf Recognition Using Texture Features and Semi-Supervised Spherical K-means Clustering. | Shadi Alamoudi, Xia Hong, Hong Wei |
| 2019 | ICONIP | Sparse Least Squares Low Rank Kernel Machines. | Di Xu, Manjing Fang, Xia Hong, Junbin Gao |
| 2019 | SGAI | Understanding Structure of Concurrent Actions. | Perusha Moodley, Benjamin Rosman, Xia Hong |
| 2018 | IJCNN | Sparse least squares support vector regression for nonstationary systems. | Xia Hong, Giuseppe Di Fatta, Hao Chen, Senlin Wang |
| 2018 | IJCNN | Functional Locality Preserving Projection for Dimensionality Reduction. | Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong |
| 2016 | IJCNN | Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. | Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris |
| 2016 | IJCNN | Manifold optimization for nonnegative coefficient logistic regression. | Xia Hong, Junbin Gao |
| 2016 | SGAI | A Fast Algorithm to Estimate the Square Root of Probability Density Function. | Xia Hong, Junbin Gao |
| 2015 | IJCNN | A constrained recursive least squares algorithm for adaptive combination of multiple models. | Xia Hong, Yu Gong |
| 2015 | IJCNN | Sparse density estimation on multinomial manifold combining local component analysis. | Xia Hong, Junbin Gao |
| 2015 | SDM | Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. | Yifan Fu, Junbin Gao, Xia Hong, David Tien |
| 2014 | ICDM | Tensor Regression Based on Linked Multiway Parameter Analysis. | Yifan Fu, Junbin Gao, Xia Hong, David Tien |
| 2014 | IJCNN | On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers. | Sheng Chen, Xia Hong, Chris J. Harris |
| 2014 | IJCNN | Joint multiple dictionary learning for Tensor sparse coding. | Yifan Fu, Junbin Gao, Yanfeng Sun, Xia Hong |
| 2014 | IJCNN | B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. | Xia Hong, Sheng Chen, Chris J. Harris |
| 2014 | IJCNN | Dimensionality reduction assisted tensor clustering. | Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris |
| 2014 | PAKDD | Gaussian Processes Autoencoder for Dimensionality Reduction. | Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai |
| 2012 | IJCNN | Probability density function estimation based over-sampling for imbalanced two-class problems. | Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris |
| 2012 | IJCNN | Modelling and inverting complex-valued wiener systems. | Xia Hong, Sheng Chen, Chris J. Harris |
| 2011 | ICASSP | Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence. | Hao Chen, Yu Gong, Xia Hong |
| 2011 | IJCNN | On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. | Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris |
| 2011 | IJCNN | B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. | Xia Hong, Yu Gong, Sheng Chen |
| 2010 | IJCNN | Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. | Sheng Chen, Xia Hong, Chris J. Harris |
| 2010 | IJCNN | Sparse kernel density estimation technique based on zero-norm constraint. | Xia Hong, Sheng Chen, Chris J. Harris |
| 2008 | IJCNN | Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. | Sheng Chen, Xia Hong, Chris J. Harris |
| 2008 | IJCNN | Fully complex-valued radial basis function networks for orthogonal least squares regression. | Sheng Chen, Xia Hong, Chris J. Harris |
| 2007 | IJCNN | Probability Density Function Estimation Using Orthogonal Forward Regression. | Sheng Chen, Xia Hong, Chris J. Harris |
| 2007 | IDEAL | Sparse Kernel Modelling: A Unified Approach. | Sheng Chen, Xia Hong, Chris J. Harris |
| 2007 | ISNN | A Multi-Level Probabilistic Neural Network. | Ning Zong, Xia Hong |
| 2007 | ISNN | A Forward Constrained Selection Algorithm for Probabilistic Neural Network. | Ning Zong, Xia Hong |
| 2006 | IJCNN | Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. | Sheng Chen, Chris J. Harris, Xia Hong |
| 2004 | IDEAL | Kernel Density Construction Using Orthogonal Forward Regression. | Sheng Chen, Xia Hong, Chris J. Harris |