近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Zisen Fang, Xiaowei Yang, Le Han, and Xiaolan Liu, A Sequentially Truncated Higher Order Singular Value Decomposition Based Algorithm for Tensor Completion, IEEE Transactions on Cybernetics, 2019, 49(5): 1956-1967.
Zhaoming Kong, Xiaowei Yang, Color Image and Multispectral Image Denoising Using Block Diagonal Representation, IEEE Transactions on Image Processing, 2019, 28(9):4247-4259.
Han Huang, Yihui Liang, Xiaowei Yang, and Zhifeng Hao, Pixel-level Discrete Multiobjective Sampling for Image Matting, IEEE Transactions on Image Processing, 2019,28(8): 3739-3751.
Yi Xiang, Yuren Zhou, Xiaowei Yang, and Han Huang, A Many-objective Evolutionary Algorithm With Pareto-adaptive Reference Points，IEEE Transactions on Evolutionary Computation, 2019. DOI: 10.1109/TEVC.2019.2909636.
Yi Xiang, Xiaowei Yang, Yuren Zhou and Han Huang, Enhancing Decomposition-based Algorithms by Estimation of Distribution for Constrained Optimal Software Product Selection, IEEE Transactions on Evolutionary Computation, 2019. DOI: 10.1109/TEVC.2019.2922419.
Zhaoming Kong, Le Han, Xiaolan Liu, Xiaowei Yang, A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising, IEEE Transactions on Medical Imaging, 2018, 37(4): 941-954.
Xiaolan Liu, Tengjiao Guo, Lifang He, Xiaowei Yang, A Low-rank Decomposition based Transductive Support Tensor Machine for Semi-Supervised Classification, IEEE Transactions on Image Processing, 2015, 24(6):1825-1838.
Zhifeng Hao, Lifang He, Bingqian Chen, and Xiaowei Yang, A linear support higher-order tensor machine for classification, IEEE Transactions on Image Processing, 2013, 22(7): 2911-2920.
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 Transactions on Fuzzy Systems, 2011, 19(1): 105-115.
Sentao Chen and Xiaowei Yang, Tailoring Density Ratio Weight for Covariate Shift Adaptation, Neurocomputing, 2019, 333: 135-144.
Le Han, Zhen Wu, Kui Zeng, Xiaowei Yang, Online multilinear principal component analysis, Neurocomputing, 2018, 275：888-896.
Xiaowei Yang, Liangjun Tan, Lifang He, A robust least squares support vector machine for regression and classification with noise, Neurocomputing, 2014, 140, pp. 41-52.
Tengjiao Guo, Le Han, Lifang He, Xiaowei Yang, A GA-based feature selection and parameter optimization for linear support higher-order tensor machine, Neurocomputing, 2014. 144, pp. 408-416.
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, 2013, 113: 1-7.
Xiaowei Yang, Le Han, Yan Li, and Lifang He, A bilateral-truncated-loss based robust support vector machine for classification problems, Soft Computing, 2015. 19 (10) :2871-2882.
Xiaowei Yang, Jie Lu, Guangquan Zhang, Adaptive pruning algorithm for least squares support vector machine classifier, Soft Computing, 2010, 14(7), 667-680.
Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen, An efficient gene selection algorithm based on mutual information. Neurocomputing, 2009, 72(4-6): 991-999.
Wen Wen, Zhifeng Hao, Xiaowei Yang, A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression, Neurocomputing 2008, 71(16-18): 3096-3103.
Jie Lu , Xiaowei Yang , Guangquan Zhang, Support vector machine-based multi-source multi-attribute information integration for situation assessment, Expert Systems With Applications, 2008, 34(2): 1333-1340.
Zhifeng Hao, Wen Wen, Zhou Liu, Xiaowei Yang, Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm, ICANN (2), 2007, 603-610.
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.
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.
京公网安备 11010802027423号