Xiaowei Yang
Orcid: 0000-0002-1512-487XAffiliations:
- South China University of Technology, School of Software Engineering, School of Mathematical Science, Guangzhou, China
- Sydney University of Technology, Faculty of Information Technology, Broadway, NSW, Australia
- Jilin University, Changchun, China (2000)
According to our database1,
Xiaowei Yang
authored at least 78 papers
between 2004 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Neural Comput. Appl., July, 2025
Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2025
A Low-Cost Feature Interaction Fault Localization Approach for Software Product Lines.
Proc. ACM Softw. Eng., 2025
An adaptive global-local interactive non-local boosting network for mixed noise removal.
Expert Syst. Appl., 2025
2024
Unsupervised Feature Selection via Controllable Adaptive Graph Learning and Discriminative Feature Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization.
ACM Trans. Softw. Eng. Methodol., February, 2024
A Nonlocal Self-Similarity-Based Weighted Tensor Low-Rank Decomposition for Multichannel Image Completion With Mixture Noise.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
2023
Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity.
IEEE Trans. Cybern., December, 2023
Cost-Sensitive Online Adaptive Kernel Learning for Large-Scale Imbalanced Classification.
IEEE Trans. Knowl. Data Eng., October, 2023
Pattern Recognit., October, 2023
InvolutionGAN: lightweight GAN with involution for unsupervised image-to-image translation.
Neural Comput. Appl., August, 2023
Balancing Constraints and Objectives by Considering Problem Types in Constrained Multiobjective Optimization.
IEEE Trans. Cybern., 2023
Pattern Recognit., 2023
2022
A Many-objective Evolutionary Algorithm With Pareto-adaptive Reference Points-Supplementary Data: Part 2.
Dataset, May, 2022
IEEE Trans. Software Eng., 2022
Novel Hybrid Low-Rank Tensor Approximation for Hyperspectral Image Mixed Denoising Based on Global-Guided-Nonlocal Prior Mechanism.
IEEE Trans. Geosci. Remote. Sens., 2022
Pattern Recognit., 2022
Online Adaptive Kernel Learning with Random Features for Large-scale Nonlinear Classification.
Pattern Recognit., 2022
Sampling configurations from software product lines via probability-aware diversification and SAT solving.
Autom. Softw. Eng., 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
A coarse-to-fine user preferences prediction method for point-of-interest recommendation.
Neurocomputing, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Image Process., 2020
IEEE Trans. Evol. Comput., 2020
Enhancing Decomposition-Based Algorithms by Estimation of Distribution for Constrained Optimal Software Product Selection.
IEEE Trans. Evol. Comput., 2020
Neurocomputing, 2020
Going deeper with optimal software products selection using many-objective optimization and satisfiability solvers.
Empir. Softw. Eng., 2020
2019
A Many-objective Evolutionary Algorithm With Pareto-adaptive Reference Points-Supplementary Data: Part 1.
Dataset, January, 2019
IEEE Trans. Image Process., 2019
A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion.
IEEE Trans. Cybern., 2019
2018
A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising.
IEEE Trans. Medical Imaging, 2018
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
2017
Recognizing activities from partially observed streams using posterior regularized conditional random fields.
Neurocomputing, 2017
2015
A Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised Classification.
IEEE Trans. Image Process., 2015
A bilateral-truncated-loss based robust support vector machine for classification problems.
Soft Comput., 2015
2014
A robust least squares support vector machine for regression and classification with noise.
Neurocomputing, 2014
A GA-based feature selection and parameter optimization for linear support higher-order tensor machine.
Neurocomputing, 2014
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
IEEE Trans. Image Process., 2013
Neural Comput. Appl., 2013
The one-against-all partition based binary tree support vector machine algorithms for multi-class classification.
Neurocomputing, 2013
2012
Neurocomputing, 2012
Local learning integrating global structure for large scale semi-supervised classification.
Proceedings of the Eighth International Conference on Natural Computation, 2012
2011
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises.
IEEE Trans. Fuzzy Syst., 2011
2010
Soft Comput., 2010
Soft Comput., 2010
2009
Neurocomputing, 2009
Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009
2008
A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression.
Neurocomputing, 2008
Support vector machine-based multi-source multi-attribute information integration for situation assessment.
Expert Syst. Appl., 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the Advances in Neural Networks, 2007
Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm.
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
Proceedings of the Computational Intelligence and Security, International Conference, 2007
2006
An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Computational Intelligence and Bioinformatics, 2006
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
2004
Proceedings of the Advances in Neural Networks, 2004