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ORCIDXiaowei Yang 0003
Person information
- affiliation: South China University of Technology, School of Software Engineering, School of Mathematical Science, Guangzhou, China
- affiliation: Sydney University of Technology, Faculty of Information Technology, Broadway, NSW, Australia
- affiliation (2000): Jilin University, Changchun, China
Other persons with the same name
- Xiaowei Yang — disambiguation page
- Xiaowei Yang 0001
![[0000-0002-0664-3846]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0664-3846")
— Duke University, Durham, USA - Xiaowei Yang 0002 — Beihang University, School of Automation Science and Electrical Engineering, China
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2020 – today
- 2025
[j51]Yuefei Zhang, Mengying Xie, Zhaoming Kong, Shaojiang Deng, Xiaowei Yang:
An adaptive global-local interactive non-local boosting network for mixed noise removal. Expert Syst. Appl. 268: 126300 (2025)- [j50]Zijie Hong, Sentao Chen, Lisheng Wen, Xiaowei Yang:
Deep domain adaptation by joint distribution neural matching. Neural Comput. Appl. 37(19): 14541-14561 (2025) - [j49]Shixuan Zhou, Yi Xiang, Han Huang, Pei Huang, Chaoda Peng, Xiaowei Yang, Peng Song:
Unsupervised feature selection with evolutionary sparsity. Neural Networks 189: 107512 (2025) - [j48]Haining Wang, Yi Xiang, Han Huang, Jie Cao, Kaichen Chen, Xiaowei Yang:
A Low-Cost Feature Interaction Fault Localization Approach for Software Product Lines. Proc. ACM Softw. Eng. 2(ISSTA): 940-962 (2025) - [j47]Zhaoming Kong, Fangxi Deng, Xiaowei Yang:
Image Denoising Using Green Channel Prior. IEEE Trans. Image Process. 34: 4869-4884 (2025) - [j46]Pei Huang, Zhaoming Kong, Limin Wang, Xuming Han, Xiaowei Yang:
Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6229-6243 (2025) - 2024
- [j45]Mengying Xie, Xiaolan Liu, Xiaowei Yang:
A Nonlocal Self-Similarity-Based Weighted Tensor Low-Rank Decomposition for Multichannel Image Completion With Mixture Noise. IEEE Trans. Neural Networks Learn. Syst. 35(1): 73-87 (2024) - [j44]Pei Huang, Mengying Xie, Xiaowei Yang:
Unsupervised Feature Selection via Controllable Adaptive Graph Learning and Discriminative Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15600-15614 (2024) - [j43]Yi Xiang, Han Huang, Sizhe Li, Miqing Li, Chuan Luo, Xiaowei Yang:
Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization. ACM Trans. Softw. Eng. Methodol. 33(2): 46:1-46:52 (2024) - 2023
- [j42]Haipeng Deng, Qiuxia Wu, Han Huang, Xiaowei Yang, Zhiyong Wang:
InvolutionGAN: lightweight GAN with involution for unsupervised image-to-image translation. Neural Comput. Appl. 35(22): 16593-16605 (2023) - [j41]Sentao Chen, Lei Wang, Zijie Hong, Xiaowei Yang:
Domain Generalization by Joint-Product Distribution Alignment. Pattern Recognit. 134: 109086 (2023) - [j40]Pei Huang, Zhaoming Kong, Mengying Xie, Xiaowei Yang:
Robust unsupervised feature selection via data relationship learning. Pattern Recognit. 142: 109676 (2023) - [j39]Yi Xiang, Xiaowei Yang, Han Huang, Jiahai Wang:
Balancing Constraints and Objectives by Considering Problem Types in Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53(1): 88-101 (2023) - [j38]Mengying Xie, Xiaolan Liu, Xiaowei Yang, Wenzeng Cai:
Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity. IEEE Trans. Cybern. 53(12): 7521-7534 (2023) - [j37]Yingying Chen, Zijie Hong, Xiaowei Yang:
Cost-Sensitive Online Adaptive Kernel Learning for Large-Scale Imbalanced Classification. IEEE Trans. Knowl. Data Eng. 35(10): 10554-10568 (2023) - [j36]Sentao Chen, Zijie Hong, Mehrtash Harandi, Xiaowei Yang:
Domain Neural Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8630-8641 (2023) - [i3]Zhaoming Kong, Fangxi Deng, Haomin Zhuang, Xiaowei Yang, Jun Yu, Lifang He:
A Comparison of Image Denoising Methods. CoRR abs/2304.08990 (2023) - 2022
- [j35]Yi Xiang, Xiaowei Yang, Han Huang, Zhengxin Huang, Miqing Li:
Sampling configurations from software product lines via probability-aware diversification and SAT solving. Autom. Softw. Eng. 29(2): 54 (2022) - [j34]Pei Huang, Xiaowei Yang:
Unsupervised feature selection via adaptive graph and dependency score. Pattern Recognit. 127: 108622 (2022) - [j33]Yingying Chen, Xiaowei Yang:
Online Adaptive Kernel Learning with Random Features for Large-scale Nonlinear Classification. Pattern Recognit. 131: 108862 (2022) - [j32]Mengying Xie, Xiaolan Liu, Xiaowei Yang:
Novel Hybrid Low-Rank Tensor Approximation for Hyperspectral Image Mixed Denoising Based on Global-Guided-Nonlocal Prior Mechanism. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j31]Yi Xiang, Han Huang, Miqing Li, Sizhe Li, Xiaowei Yang:
Looking For Novelty in Search-Based Software Product Line Testing. IEEE Trans. Software Eng. 48(7): 2317-2338 (2022) - [c23]Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin, Miqing Li, Xiaowei Yang:
Search-based Diverse Sampling from Real-world Software Product Lines. ICSE 2022: 1945-1957 - [d2]Yi Xiang, Yuren Zhou, Xiaowei Yang, Han Huang:
A Many-objective Evolutionary Algorithm With Pareto-adaptive Reference Points-Supplementary Data: Part 2. IEEE DataPort, 2022
- 2021
- [j30]Liangqi Cai, Wen Wen, Biao Wu, Xiaowei Yang:
A coarse-to-fine user preferences prediction method for point-of-interest recommendation. Neurocomputing 422: 1-11 (2021) - [j29]Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang:
Semi-Supervised Domain Adaptation via Asymmetric Joint Distribution Matching. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5708-5722 (2021) - 2020
- [j28]Yi Xiang, Xiaowei Yang, Yuren Zhou, Zibin Zheng, Miqing Li, Han Huang:
Going deeper with optimal software products selection using many-objective optimization and satisfiability solvers. Empir. Softw. Eng. 25(1): 591-626 (2020) - [j27]Xiaona Jin, Xiaowei Yang, Bo Fu, Sentao Chen:
Joint distribution matching embedding for unsupervised domain adaptation. Neurocomputing 412: 115-128 (2020) - [j26]Yi Xiang, Yuren Zhou, Xiaowei Yang, Han Huang:
A Many-Objective Evolutionary Algorithm With Pareto-Adaptive Reference Points. IEEE Trans. Evol. Comput. 24(1): 99-113 (2020) - [j25]Yi Xiang, Xiaowei Yang, Yuren Zhou, Han Huang:
Enhancing Decomposition-Based Algorithms by Estimation of Distribution for Constrained Optimal Software Product Selection. IEEE Trans. Evol. Comput. 24(2): 245-259 (2020) - [j24]Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang:
Domain Adaptation by Joint Distribution Invariant Projections. IEEE Trans. Image Process. 29: 8264-8277 (2020) - [j23]Sentao Chen, Le Han, Xiaolan Liu, Zongyao He, Xiaowei Yang:
Subspace Distribution Adaptation Frameworks for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5204-5218 (2020) - [i2]Zhaoming Kong, Xiaowei Yang, Lifang He:
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods. CoRR abs/2011.03462 (2020)
2010 – 2019
- 2019
- [j22]Sentao Chen, Xiaowei Yang:
Tailoring density ratio weight for covariate shift adaptation. Neurocomputing 333: 135-144 (2019) - [j21]Zisen Fang, Xiaowei Yang, Le Han, Xiaolan Liu:
A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion. IEEE Trans. Cybern. 49(5): 1956-1967 (2019) - [j20]Han Huang, Yihui Liang, Xiaowei Yang, Zhifeng Hao:
Pixel-Level Discrete Multiobjective Sampling for Image Matting. IEEE Trans. Image Process. 28(8): 3739-3751 (2019) - [d1]Yi Xiang, Yuren Zhou, Xiaowei Yang, Han Huang:
A Many-objective Evolutionary Algorithm With Pareto-adaptive Reference Points-Supplementary Data: Part 1. IEEE DataPort, 2019 - 2018
- [j19]Zhaoming Kong, Le Han, Xiaolan Liu, Xiaowei Yang:
A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising. IEEE Trans. Medical Imaging 37(4): 941-954 (2018) - [c22]Xiaolan Liu, Jiao Liu, Xiaolan Liu, Zhaoming Kong, Xiaowei Yang:
Incremental sparse linear regression algorithms for face recognition. ICACI 2018: 69-74 - 2017
- [j18]Wen Wen, Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Yang Li:
Recognizing activities from partially observed streams using posterior regularized conditional random fields. Neurocomputing 260: 294-301 (2017) - 2015
- [j17]Xiaowei Yang, Le Han, Yan Li, Lifang He:
A bilateral-truncated-loss based robust support vector machine for classification problems. Soft Comput. 19(10): 2871-2882 (2015) - [j16]Xiaolan Liu, Tengjiao Guo, Lifang He, Xiaowei Yang:
A Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised Classification. IEEE Trans. Image Process. 24(6): 1825-1838 (2015) - 2014
- [j15]Xiaowei Yang, Liangjun Tan, Lifang He:
A robust least squares support vector machine for regression and classification with noise. Neurocomputing 140: 41-52 (2014) - [j14]Tengjiao Guo, Le Han, Lifang He, Xiaowei Yang:
A GA-based feature selection and parameter optimization for linear support higher-order tensor machine. Neurocomputing 144: 408-416 (2014) - [c21]Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu:
Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems. ICDM 2014: 839-844 - [c20]Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao:
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. SDM 2014: 127-135 - [i1]Lifang He, Xiangnan Kong, Philip S. Yu, Ann B. Ragin, Zhifeng Hao, Xiaowei Yang:
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. CoRR abs/1407.8289 (2014) - 2013
- [j13]Xiaowei Yang, Qiaozhen Yu, Lifang He, Tengjiao Guo:
The one-against-all partition based binary tree support vector machine algorithms for multi-class classification. Neurocomputing 113: 1-7 (2013) - [j12]Lifang He, Xiaowei Yang, Zhifeng Hao:
An adaptive class pairwise dimensionality reduction algorithm. Neural Comput. Appl. 23(2): 299-310 (2013) - [j11]Zhifeng Hao, Ganzhao Yuan, Xiaowei Yang, Zijie Chen:
A primal method for multiple kernel learning. Neural Comput. Appl. 23(3-4): 975-987 (2013) - [j10]Zhifeng Hao, Lifang He, Bingqian Chen, Xiaowei Yang:
A Linear Support Higher-Order Tensor Machine for Classification. IEEE Trans. Image Process. 22(7): 2911-2920 (2013) - 2012
- [j9]Qianfeng Cai, Zhifeng Hao, Xiaowei Yang:
Gaussian kernel-based fuzzy inference systems for high dimensional regression. Neurocomputing 77(1): 197-204 (2012) - [c19]Guangchao Wu, Yuhan Li, Jianqing Xi, Xiaowei Yang, Xiaolan Liu:
Local learning integrating global structure for large scale semi-supervised classification. ICNC 2012: 1044-1049 - 2011
- [j8]Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Han Huang:
A new hybrid method for gene selection. Pattern Anal. Appl. 14(1): 1-8 (2011) - [j7]Xiaowei Yang, Guangquan Zhang, Jie Lu, Jun Ma:
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises. IEEE Trans. Fuzzy Syst. 19(1): 105-115 (2011) - 2010
- [j6]Xiaowei Yang, Jie Lu, Guangquan Zhang:
Adaptive pruning algorithm for least squares support vector machine classifier. Soft Comput. 14(7): 667-680 (2010) - [j5]Wen Wen, Zhifeng Hao, Xiaowei Yang:
Robust least squares support vector machine based on recursive outlier elimination. Soft Comput. 14(11): 1241-1251 (2010)
2000 – 2009
- 2009
- [j4]Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen:
An efficient gene selection algorithm based on mutual information. Neurocomputing 72(4-6): 991-999 (2009) - [c18]Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu:
Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning. ADMA 2009: 536-544 - 2008
- [j3]Jie Lu, Xiaowei Yang, Guangquan Zhang:
Support vector machine-based multi-source multi-attribute information integration for situation assessment. Expert Syst. Appl. 34(2): 1333-1340 (2008) - [j2]Wen Wen, Zhifeng Hao, Xiaowei Yang:
A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression. Neurocomputing 71(16-18): 3096-3103 (2008) - [c17]Zhiyong Lin, Zhifeng Hao, Xiaowei Yang:
Evolutionary support center machine. IEEE Congress on Evolutionary Computation 2008: 1901-1906 - 2007
- [j1]Bo Liu, Zhifeng Hao, Xiaowei Yang:
Nesting Algorithm for Multi-Classification Problems. Soft Comput. 11(4): 383-389 (2007) - [c16]Zhifeng Hao, Zhenhua He, Xiaowei Yang:
An Accelerated SMO-Type Online Learning Algorithm. CIS 2007: 65-69 - [c15]Qianfeng Cai, Zhifeng Hao, Xiaowei Yang:
Successive Overrelaxation for Mamdani Fuzzy Systems. FSKD (3) 2007: 699-705 - [c14]Zhifeng Hao, Wen Wen, Zhou Liu, Xiaowei Yang:
Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm. ICANN (2) 2007: 603-610 - [c13]Xu Xu, Yuxiao Zhang, Yanchun Liang, Xiaowei Yang, Zhifeng Hao:
An Improved Fuzzy Neural Network for Ultrasonic Motors Control. ISNN (1) 2007: 8-13 - 2006
- [c12]Han Huang, Xiaowei Yang, Zhifeng Hao, Ruichu Cai:
A Novel ACO Algorithm with Adaptive Parameter. ICIC (3) 2006: 12-21 - [c11]Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen:
A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression. ICONIP (1) 2006: 773-781 - [c10]Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang:
A Fast Data Preprocessing Procedure for Support Vector Regression. IDEAL 2006: 48-56 - [c9]Zhuangfeng Shao, Xiaowei Yang, Wen Wen, Zhifeng Hao:
A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine. ISDA (1) 2006: 167-171 - [c8]Shu Yu, Xiaowei Yang, Zhifeng Hao, Yanchun Liang:
An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem. ISNN (1) 2006: 981-990 - [c7]Bo Liu, Xiaowei Yang, Zhifeng Hao:
Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification. ISNN (1) 2006: 997-1003 - [c6]Jingqing Jiang, Chuyi Song, Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao:
Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines. ISNN (1) 2006: 1010-1015 - [c5]Yanchun Liang, Jie Zhang, Xu Xu, Xiaowei Yang, Zhifeng Hao:
A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control. ISNN (2) 2006: 1084-1089 - 2005
- [c4]Han Huang, Xiaowei Yang, Zhifeng Hao, Chunguo Wu, Yanchun Liang, Xi Zhao:
Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems. ICNC (3) 2005: 137-140 - [c3]Chunguo Wu, Yanchun Liang, Xiaowei Yang, Zhifeng Hao:
Equivalence of Classification and Regression Under Support Vector Machine Theory. ICNC (3) 2005: 1257-1260 - [c2]Zhifeng Hao, Bo Liu, Xiaowei Yang, Yanchun Liang, Feng Zhao:
Twi-Map Support Vector Machine for Multi-classification Problems. ISNN (1) 2005: 869-874 - 2004
- [c1]Zhifeng Hao, Shu Yu, Xiaowei Yang, Feng Zhao, Rong Hu, Yanchun Liang:
Online LS-SVM Learning for Classification Problems Based on Incremental Chunk. ISNN (1) 2004: 558-564
Coauthor Index
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