Xiaowei Yang

78 papers A* 2A 1B 1C 3Misc 1Journal 55Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Subspace information imputation-assisted global-nonlocal high-order structural representation for hyperspectral image completing and mixed denoising.
Expert Syst. Appl.
Mengying Xie, Yuguo Zhou, Yantao Li, Xiaowei Yang, Shaojiang Deng
2025 J jnl
A Low-Cost Feature Interaction Fault Localization Approach for Software Product Lines.
Proc. ACM Softw. Eng.
Haining Wang, Yi Xiang, Han Huang, Jie Cao, Kaichen Chen, Xiaowei Yang
2025 J jnl
An adaptive global-local interactive non-local boosting network for mixed noise removal.
Expert Syst. Appl.
Yuefei Zhang, Mengying Xie, Zhaoming Kong, Shaojiang Deng, Xiaowei Yang
2025 J jnl
Deep domain adaptation by joint distribution neural matching.
Neural Comput. Appl.
Zijie Hong, Sentao Chen, Lisheng Wen, Xiaowei Yang
2025 J jnl
Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning.
IEEE Trans. Neural Networks Learn. Syst.
Pei Huang, Zhaoming Kong, Limin Wang, Xuming Han, Xiaowei Yang
2025 J jnl
Image Denoising Using Green Channel Prior.
IEEE Trans. Image Process.
Zhaoming Kong, Fangxi Deng, Xiaowei Yang
2025 J jnl
Unsupervised feature selection with evolutionary sparsity.
Neural Networks
Shixuan Zhou, Yi Xiang, Han Huang, Pei Huang, Chaoda Peng, Xiaowei Yang, Peng Song
2024 J jnl
A Nonlocal Self-Similarity-Based Weighted Tensor Low-Rank Decomposition for Multichannel Image Completion With Mixture Noise.
IEEE Trans. Neural Networks Learn. Syst.
Mengying Xie, Xiaolan Liu, Xiaowei Yang
2024 J jnl
Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization.
ACM Trans. Softw. Eng. Methodol.
Yi Xiang, Han Huang, Sizhe Li, Miqing Li, Chuan Luo, Xiaowei Yang
2024 J jnl
Unsupervised Feature Selection via Controllable Adaptive Graph Learning and Discriminative Feature Learning.
IEEE Trans. Neural Networks Learn. Syst.
Pei Huang, Mengying Xie, Xiaowei Yang
2023 J jnl
A Comparison of Image Denoising Methods.
CoRR
Zhaoming Kong, Fangxi Deng, Haomin Zhuang, Xiaowei Yang, Jun Yu, Lifang He
2023 J jnl
Balancing Constraints and Objectives by Considering Problem Types in Constrained Multiobjective Optimization.
IEEE Trans. Cybern.
Yi Xiang, Xiaowei Yang, Han Huang, Jiahai Wang
2023 J jnl
Cost-Sensitive Online Adaptive Kernel Learning for Large-Scale Imbalanced Classification.
IEEE Trans. Knowl. Data Eng.
Yingying Chen, Zijie Hong, Xiaowei Yang
2023 J jnl
Domain Generalization by Joint-Product Distribution Alignment.
Pattern Recognit.
Sentao Chen, Lei Wang, Zijie Hong, Xiaowei Yang
2023 J jnl
Domain Neural Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Sentao Chen, Zijie Hong, Mehrtash Harandi, Xiaowei Yang
2023 J jnl
InvolutionGAN: lightweight GAN with involution for unsupervised image-to-image translation.
Neural Comput. Appl.
Haipeng Deng, Qiuxia Wu, Han Huang, Xiaowei Yang, Zhiyong Wang
2023 J jnl
Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity.
IEEE Trans. Cybern.
Mengying Xie, Xiaolan Liu, Xiaowei Yang, Wenzeng Cai
2023 J jnl
Robust unsupervised feature selection via data relationship learning.
Pattern Recognit.
Pei Huang, Zhaoming Kong, Mengying Xie, Xiaowei Yang
2022 J jnl
Looking For Novelty in Search-Based Software Product Line Testing.
IEEE Trans. Software Eng.
Yi Xiang, Han Huang, Miqing Li, Sizhe Li, Xiaowei Yang
2022 J jnl
Novel Hybrid Low-Rank Tensor Approximation for Hyperspectral Image Mixed Denoising Based on Global-Guided-Nonlocal Prior Mechanism.
IEEE Trans. Geosci. Remote. Sens.
Mengying Xie, Xiaolan Liu, Xiaowei Yang
2022 J jnl
Online Adaptive Kernel Learning with Random Features for Large-scale Nonlinear Classification.
Pattern Recognit.
Yingying Chen, Xiaowei Yang
2022 J jnl
Sampling configurations from software product lines via probability-aware diversification and SAT solving.
Autom. Softw. Eng.
Yi Xiang, Xiaowei Yang, Han Huang, Zhengxin Huang, Miqing Li
2022 A* conf
Search-based Diverse Sampling from Real-world Software Product Lines.
ICSE
Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin, Miqing Li, Xiaowei Yang
2022 J jnl
Unsupervised feature selection via adaptive graph and dependency score.
Pattern Recognit.
Pei Huang, Xiaowei Yang
2021 J jnl
A coarse-to-fine user preferences prediction method for point-of-interest recommendation.
Neurocomputing
Liangqi Cai, Wen Wen, Biao Wu, Xiaowei Yang
2021 J jnl
Semi-Supervised Domain Adaptation via Asymmetric Joint Distribution Matching.
IEEE Trans. Neural Networks Learn. Syst.
Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang
2020 J jnl
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods.
CoRR
Zhaoming Kong, Xiaowei Yang, Lifang He
2020 J jnl
A Many-Objective Evolutionary Algorithm With Pareto-Adaptive Reference Points.
IEEE Trans. Evol. Comput.
Yi Xiang, Yuren Zhou, Xiaowei Yang, Han Huang
2020 J jnl
Domain Adaptation by Joint Distribution Invariant Projections.
IEEE Trans. Image Process.
Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang
2020 J jnl
Enhancing Decomposition-Based Algorithms by Estimation of Distribution for Constrained Optimal Software Product Selection.
IEEE Trans. Evol. Comput.
Yi Xiang, Xiaowei Yang, Yuren Zhou, Han Huang
2020 J jnl
Going deeper with optimal software products selection using many-objective optimization and satisfiability solvers.
Empir. Softw. Eng.
Yi Xiang, Xiaowei Yang, Yuren Zhou, Zibin Zheng, Miqing Li, Han Huang
2020 J jnl
Joint distribution matching embedding for unsupervised domain adaptation.
Neurocomputing
Xiaona Jin, Xiaowei Yang, Bo Fu, Sentao Chen
2020 J jnl
Subspace Distribution Adaptation Frameworks for Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Sentao Chen, Le Han, Xiaolan Liu, Zongyao He, Xiaowei Yang
2019 J jnl
A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion.
IEEE Trans. Cybern.
Zisen Fang, Xiaowei Yang, Le Han, Xiaolan Liu
2019 J jnl
Pixel-Level Discrete Multiobjective Sampling for Image Matting.
IEEE Trans. Image Process.
Han Huang, Yihui Liang, Xiaowei Yang, Zhifeng Hao
2019 J jnl
Tailoring density ratio weight for covariate shift adaptation.
Neurocomputing
Sentao Chen, Xiaowei Yang
2018 J jnl
A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising.
IEEE Trans. Medical Imaging
Zhaoming Kong, Le Han, Xiaolan Liu, Xiaowei Yang
2018 — conf
Incremental sparse linear regression algorithms for face recognition.
ICACI
Xiaolan Liu, Jiao Liu, Zhaoming Kong, Xiaowei Yang
2017 J jnl
Recognizing activities from partially observed streams using posterior regularized conditional random fields.
Neurocomputing
Wen Wen, Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Yang Li
2015 J jnl
A Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised Classification.
IEEE Trans. Image Process.
Xiaolan Liu, Tengjiao Guo, Lifang He, Xiaowei Yang
2015 J jnl
A bilateral-truncated-loss based robust support vector machine for classification problems.
Soft Comput.
Xiaowei Yang, Le Han, Yan Li, Lifang He
2014 J jnl
A GA-based feature selection and parameter optimization for linear support higher-order tensor machine.
Neurocomputing
Tengjiao Guo, Le Han, Lifang He, Xiaowei Yang
2014 J jnl
A robust least squares support vector machine for regression and classification with noise.
Neurocomputing
Xiaowei Yang, Liangjun Tan, Lifang He
2014 A conf
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.
SDM
Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao
2014 J jnl
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.
CoRR
Lifang He, Xiangnan Kong, Philip S. Yu, Ann B. Ragin, Zhifeng Hao, Xiaowei Yang
2014 A* conf
Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems.
ICDM
Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu
2013 J jnl
A Linear Support Higher-Order Tensor Machine for Classification.
IEEE Trans. Image Process.
Zhifeng Hao, Lifang He, Bingqian Chen, Xiaowei Yang
2013 J jnl
A primal method for multiple kernel learning.
Neural Comput. Appl.
Zhifeng Hao, Ganzhao Yuan, Xiaowei Yang, Zijie Chen
2013 J jnl
An adaptive class pairwise dimensionality reduction algorithm.
Neural Comput. Appl.
Lifang He, Xiaowei Yang, Zhifeng Hao
2013 J jnl
The one-against-all partition based binary tree support vector machine algorithms for multi-class classification.
Neurocomputing
Xiaowei Yang, Qiaozhen Yu, Lifang He, Tengjiao Guo
2012 J jnl
Gaussian kernel-based fuzzy inference systems for high dimensional regression.
Neurocomputing
Qianfeng Cai, Zhifeng Hao, Xiaowei Yang
2012 Misc conf
Local learning integrating global structure for large scale semi-supervised classification.
ICNC
Guangchao Wu, Yuhan Li, Jianqing Xi, Xiaowei Yang, Xiaolan Liu
2011 J jnl
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises.
IEEE Trans. Fuzzy Syst.
Xiaowei Yang, Guangquan Zhang, Jie Lu, Jun Ma
2011 J jnl
A new hybrid method for gene selection.
Pattern Anal. Appl.
Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Han Huang
2010 J jnl
Adaptive pruning algorithm for least squares support vector machine classifier.
Soft Comput.
Xiaowei Yang, Jie Lu, Guangquan Zhang
2010 J jnl
Robust least squares support vector machine based on recursive outlier elimination.
Soft Comput.
Wen Wen, Zhifeng Hao, Xiaowei Yang
2009 J jnl
An efficient gene selection algorithm based on mutual information.
Neurocomputing
Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen
2009 C conf
Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.
ADMA
Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu
2008 J jnl
A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression.
Neurocomputing
Wen Wen, Zhifeng Hao, Xiaowei Yang
2008 B conf
Evolutionary support center machine.
IEEE Congress on Evolutionary Computation
Zhiyong Lin, Zhifeng Hao, Xiaowei Yang
2008 J jnl
Support vector machine-based multi-source multi-attribute information integration for situation assessment.
Expert Syst. Appl.
Jie Lu, Xiaowei Yang, Guangquan Zhang
2007 C conf
An Accelerated SMO-Type Online Learning Algorithm.
CIS
Zhifeng Hao, Zhenhua He, Xiaowei Yang
2007 — conf
An Improved Fuzzy Neural Network for Ultrasonic Motors Control.
ISNN (1)
Xu Xu, Yuxiao Zhang, Yanchun Liang, Xiaowei Yang, Zhifeng Hao
2007 J jnl
Nesting Algorithm for Multi-Classification Problems.
Soft Comput.
Bo Liu, Zhifeng Hao, Xiaowei Yang
2007 — conf
Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm.
ICANN (2)
Zhifeng Hao, Wen Wen, Zhou Liu, Xiaowei Yang
2007 — conf
Successive Overrelaxation for Mamdani Fuzzy Systems.
FSKD (3)
Qianfeng Cai, Zhifeng Hao, Xiaowei Yang
2006 — conf
A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control.
ISNN (2)
Yanchun Liang, Jie Zhang, Xu Xu, Xiaowei Yang, Zhifeng Hao
2006 C conf
A Fast Data Preprocessing Procedure for Support Vector Regression.
IDEAL
Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang
2006 — conf
A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression.
ICONIP (1)
Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen
2006 — conf
A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine.
ISDA (1)
Zhuangfeng Shao, Xiaowei Yang, Wen Wen, Zhifeng Hao
2006 — conf
A Novel ACO Algorithm with Adaptive Parameter.
ICIC (3)
Han Huang, Xiaowei Yang, Zhifeng Hao, Ruichu Cai
2006 — conf
An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem.
ISNN (1)
Shu Yu, Xiaowei Yang, Zhifeng Hao, Yanchun Liang
2006 — conf
Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification.
ISNN (1)
Bo Liu, Xiaowei Yang, Zhifeng Hao
2006 — conf
Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.
ISNN (1)
Jingqing Jiang, Chuyi Song, Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao
2005 — conf
Equivalence of Classification and Regression Under Support Vector Machine Theory.
ICNC (3)
Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao
2005 — conf
Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems.
ICNC (3)
Han Huang, Xiaowei Yang, Zhifeng Hao, Chunguo Wu, Yanchun Liang, Xi Zhao
2005 — conf
Twi-Map Support Vector Machine for Multi-classification Problems.
ISNN (1)
Zhifeng Hao, Bo Liu, Xiaowei Yang, Yanchun Liang, Feng Zhao
2004 — conf
Online LS-SVM Learning for Classification Problems Based on Incremental Chunk.
ISNN (1)
Zhifeng Hao, Shu Yu, Xiaowei Yang, Feng Zhao, Rong Hu, Yanchun Liang