Online LS-SVM Learning for Classification Problems Based on Incremental Chunk. - Zhifeng Hao; Shu Yu; Xiaowei Yang 003; Feng Zhao; Rong Hu; Yanchun Liang 001 (ISNN (1), 2004)

Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems. - Han Huang 002; Xiaowei Yang 003; Zhifeng Hao; Chunguo Wu; Yanchun Liang 001; Xi Zhao (ICNC (3), 2005)

Equivalence of Classification and Regression Under Support Vector Machine Theory. - Chunguo Wu; Yanchun Liang 001; Xiaowei Yang 003; Zhifeng Hao (ICNC (3), 2005)

Twi-Map Support Vector Machine for Multi-classification Problems. - Zhifeng Hao; Bo Liu 002; Xiaowei Yang 003; Yanchun Liang 001; Feng Zhao (ISNN (1), 2005)

A Novel ACO Algorithm with Adaptive Parameter. - Han Huang 002; Xiaowei Yang 003; Zhifeng Hao; Ruichu Cai (ICIC (3), 2006)

A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression. - Wen Wen; Zhifeng Hao; Zhuangfeng Shao; Xiaowei Yang 003; Ming Chen 001 (ICONIP (1), 2006)

A Fast Data Preprocessing Procedure for Support Vector Regression. - Zhifeng Hao; Wen Wen; Xiaowei Yang 003; Jie Lu 001; Guangquan Zhang 001 (IDEAL, 2006)

A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine. - Zhuangfeng Shao; Xiaowei Yang 003; Wen Wen; Zhifeng Hao (ISDA (1), 2006)

Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines. - Jingqing Jiang; Chuyi Song; Chunguo Wu; Yanchun Liang 001; Xiaowei Yang 003; Zhifeng Hao (ISNN (1), 2006)

A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control. - Yanchun Liang 001; Jie Zhang; Xu Xu; Xiaowei Yang 003; Zhifeng Hao (ISNN (2), 2006)

Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification. - Bo Liu 002; Xiaowei Yang 003; Zhifeng Hao (ISNN (1), 2006)

An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem. - Shu Yu; Xiaowei Yang 003; Zhifeng Hao; Yanchun Liang 001 (ISNN (1), 2006)

An Accelerated SMO-Type Online Learning Algorithm. - Zhifeng Hao; Zhenhua He; Xiaowei Yang 003 (CIS, 2007)

Successive Overrelaxation for Mamdani Fuzzy Systems. - Qianfeng Cai; Zhifeng Hao; Xiaowei Yang 003 (FSKD (3), 2007)

Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm. - Zhifeng Hao; Wen Wen; Zhou Liu; Xiaowei Yang 003 (ICANN (2), 2007)

An Improved Fuzzy Neural Network for Ultrasonic Motors Control. - Xu Xu; Yuxiao Zhang; Yanchun Liang 001; Xiaowei Yang 003; Zhifeng Hao (ISNN (1), 2007)

Nesting Algorithm for Multi-Classification Problems. - Bo Liu 002; Zhifeng Hao; Xiaowei Yang 003 (Soft Comput., 2007)

Evolutionary support center machine. - Zhiyong Lin; Zhifeng Hao; Xiaowei Yang 003 (IEEE Congress on Evolutionary Computation, 2008)

Support vector machine-based multi-source multi-attribute information integration for situation assessment. - Jie Lu 001; Xiaowei Yang 003; Guangquan Zhang 001 (Expert Syst. Appl., 2008)

A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression. - Wen Wen; Zhifeng Hao; Xiaowei Yang 003 (Neurocomputing, 2008)

Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning. - Zhiyong Lin; Zhifeng Hao; Xiaowei Yang 003; Xiaolan Liu 003 (ADMA, 2009)

An efficient gene selection algorithm based on mutual information. - Ruichu Cai; Zhifeng Hao; Xiaowei Yang 003; Wen Wen (Neurocomputing, 2009)

Robust least squares support vector machine based on recursive outlier elimination. - Wen Wen; Zhifeng Hao; Xiaowei Yang 003 (Soft Comput., 2010)

Adaptive pruning algorithm for least squares support vector machine classifier. - Xiaowei Yang 003; Jie Lu 001; Guangquan Zhang 001 (Soft Comput., 2010)

A new hybrid method for gene selection. - Ruichu Cai; Zhifeng Hao; Xiaowei Yang 003; Han Huang 002 (Pattern Anal. Appl., 2011)

A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises. - Xiaowei Yang 003; Guangquan Zhang 001; Jie Lu 001; Jun Ma 002 (IEEE Trans. Fuzzy Syst., 2011)

Local learning integrating global structure for large scale semi-supervised classification. - Guangchao Wu; Yuhan Li; Jianqing Xi; Xiaowei Yang 003; Xiaolan Liu 003 (ICNC, 2012)

Gaussian kernel-based fuzzy inference systems for high dimensional regression. - Qianfeng Cai; Zhifeng Hao; Xiaowei Yang 003 (Neurocomputing, 2012)

The one-against-all partition based binary tree support vector machine algorithms for multi-class classification. - Xiaowei Yang 003; Qiaozhen Yu; Lifang He 001; Tengjiao Guo (Neurocomputing, 2013)

A primal method for multiple kernel learning. - Zhifeng Hao; Ganzhao Yuan; Xiaowei Yang 003; Zijie Chen (Neural Comput. Appl., 2013)

An adaptive class pairwise dimensionality reduction algorithm. - Lifang He 001; Xiaowei Yang 003; Zhifeng Hao (Neural Comput. Appl., 2013)

A Linear Support Higher-Order Tensor Machine for Classification. - Zhifeng Hao; Lifang He 001; Bingqian Chen; Xiaowei Yang 003 (IEEE Trans. Image Process., 2013)

Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems. - Lifang He 001; Hong-Han Shuai; Xiangnan Kong; Zhifeng Hao; Xiaowei Yang 003; Philip S. Yu (ICDM, 2014)

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. - Lifang He 001; Xiangnan Kong; Philip S. Yu; Xiaowei Yang 003; Ann B. Ragin; Zhifeng Hao (SDM, 2014)

A GA-based feature selection and parameter optimization for linear support higher-order tensor machine. - Tengjiao Guo; Le Han; Lifang He 001; Xiaowei Yang 003 (Neurocomputing, 2014)

A robust least squares support vector machine for regression and classification with noise. - Xiaowei Yang 003; Liangjun Tan; Lifang He 001 (Neurocomputing, 2014)

A bilateral-truncated-loss based robust support vector machine for classification problems. - Xiaowei Yang 003; Le Han; Yan Li; Lifang He 001 (Soft Comput., 2015)

A Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised Classification. - Xiaolan Liu 003; Tengjiao Guo; Lifang He 001; Xiaowei Yang 003 (IEEE Trans. Image Process., 2015)

Recognizing activities from partially observed streams using posterior regularized conditional random fields. - Wen Wen; Ruichu Cai; Zhifeng Hao; Xiaowei Yang 003; Yang Li (Neurocomputing, 2017)

Incremental sparse linear regression algorithms for face recognition. - Xiaolan Liu 003; Jiao Liu; Xiaolan Liu 003; Zhaoming Kong; Xiaowei Yang 003 (ICACI, 2018)

A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising. - Zhaoming Kong; Le Han; Xiaolan Liu 003; Xiaowei Yang 003 (IEEE Trans. Medical Imaging, 2018)

Tailoring density ratio weight for covariate shift adaptation. - Sentao Chen; Xiaowei Yang 003 (Neurocomputing, 2019)

A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion. - Zisen Fang; Xiaowei Yang 003; Le Han; Xiaolan Liu 003 (IEEE Trans. Cybern., 2019)

Pixel-Level Discrete Multiobjective Sampling for Image Matting. - Han Huang 002; Yihui Liang; Xiaowei Yang 003; Zhifeng Hao (IEEE Trans. Image Process., 2019)

A Many-objective Evolutionary Algorithm With Pareto-adaptive Reference Points-Supplementary Data: Part 1. - Yi Xiang; Yuren Zhou; Xiaowei Yang 003; Han Huang 002 (IEEE DataPort, 2019)

A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods. - Zhaoming Kong; Xiaowei Yang 003; Lifang He 001 (CoRR, 2020)

Going deeper with optimal software products selection using many-objective optimization and satisfiability solvers. - Yi Xiang; Xiaowei Yang 003; Yuren Zhou; Zibin Zheng; Miqing Li; Han Huang 002 (Empir. Softw. Eng., 2020)

Joint distribution matching embedding for unsupervised domain adaptation. - Xiaona Jin; Xiaowei Yang 003; Bo Fu; Sentao Chen (Neurocomputing, 2020)

Enhancing Decomposition-Based Algorithms by Estimation of Distribution for Constrained Optimal Software Product Selection. - Yi Xiang; Xiaowei Yang 003; Yuren Zhou; Han Huang 002 (IEEE Trans. Evol. Comput., 2020)

A Many-Objective Evolutionary Algorithm With Pareto-Adaptive Reference Points. - Yi Xiang; Yuren Zhou; Xiaowei Yang 003; Han Huang 002 (IEEE Trans. Evol. Comput., 2020)

Domain Adaptation by Joint Distribution Invariant Projections. - Sentao Chen; Mehrtash Harandi; Xiaona Jin; Xiaowei Yang 003 (IEEE Trans. Image Process., 2020)

Subspace Distribution Adaptation Frameworks for Domain Adaptation. - Sentao Chen; Le Han; Xiaolan Liu 003; Zongyao He; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A coarse-to-fine user preferences prediction method for point-of-interest recommendation. - Liangqi Cai; Wen Wen; Biao Wu; Xiaowei Yang 003 (Neurocomputing, 2021)

Semi-Supervised Domain Adaptation via Asymmetric Joint Distribution Matching. - Sentao Chen; Mehrtash Harandi; Xiaona Jin; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Search-based Diverse Sampling from Real-world Software Product Lines. - Yi Xiang; Han Huang 002; Yuren Zhou; Sizhe Li; Chuan Luo 002; Qingwei Lin; Miqing Li; Xiaowei Yang 003 (ICSE, 2022)

Sampling configurations from software product lines via probability-aware diversification and SAT solving. - Yi Xiang; Xiaowei Yang 003; Han Huang 002; Zhengxin Huang; Miqing Li (Autom. Softw. Eng., 2022)

Online Adaptive Kernel Learning with Random Features for Large-scale Nonlinear Classification. - Yingying Chen; Xiaowei Yang 003 (Pattern Recognit., 2022)

Unsupervised feature selection via adaptive graph and dependency score. - Pei Huang 019; Xiaowei Yang 003 (Pattern Recognit., 2022)

Novel Hybrid Low-Rank Tensor Approximation for Hyperspectral Image Mixed Denoising Based on Global-Guided-Nonlocal Prior Mechanism. - Mengying Xie; Xiaolan Liu 003; Xiaowei Yang 003 (IEEE Trans. Geosci. Remote. Sens., 2022)

Looking For Novelty in Search-Based Software Product Line Testing. - Yi Xiang; Han Huang 002; Miqing Li; Sizhe Li; Xiaowei Yang 003 (IEEE Trans. Software Eng., 2022)

A Many-objective Evolutionary Algorithm With Pareto-adaptive Reference Points-Supplementary Data: Part 2. - Yi Xiang; Yuren Zhou; Xiaowei Yang 003; Han Huang 002 (IEEE DataPort, 2022)

A Comparison of Image Denoising Methods. - Zhaoming Kong; Fangxi Deng; Haomin Zhuang; Xiaowei Yang 003; Jun Yu; Lifang He 001 (CoRR, 2023)

Domain Generalization by Joint-Product Distribution Alignment. - Sentao Chen; Lei Wang; Zijie Hong; Xiaowei Yang 003 (Pattern Recognit., 2023)

Balancing Constraints and Objectives by Considering Problem Types in Constrained Multiobjective Optimization. - Yi Xiang; Xiaowei Yang 003; Han Huang 002; Jiahai Wang (IEEE Trans. Cybern., 2023)

InvolutionGAN: lightweight GAN with involution for unsupervised image-to-image translation. - Haipeng Deng; Qiuxia Wu; Han Huang 002; Xiaowei Yang 003; Zhiyong Wang 001 (Neural Comput. Appl., 2023)

Robust unsupervised feature selection via data relationship learning. - Pei Huang 019; Zhaoming Kong; Mengying Xie; Xiaowei Yang 003 (Pattern Recognit., 2023)

Cost-Sensitive Online Adaptive Kernel Learning for Large-Scale Imbalanced Classification. - Yingying Chen; Zijie Hong; Xiaowei Yang 003 (IEEE Trans. Knowl. Data Eng., 2023)

Domain Neural Adaptation. - Sentao Chen; Zijie Hong; Mehrtash Harandi; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity. - Mengying Xie; Xiaolan Liu 003; Xiaowei Yang 003; Wenzeng Cai (IEEE Trans. Cybern., 2023)

A Nonlocal Self-Similarity-Based Weighted Tensor Low-Rank Decomposition for Multichannel Image Completion With Mixture Noise. - Mengying Xie; Xiaolan Liu 003; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Automated Test Suite Generation for Software Product Lines Based on Quality-Diversity Optimization. - Yi Xiang; Han Huang 002; Sizhe Li; Miqing Li; Chuan Luo 002; Xiaowei Yang 003 (ACM Trans. Softw. Eng. Methodol., 2024)

Unsupervised Feature Selection via Controllable Adaptive Graph Learning and Discriminative Feature Learning. - Pei Huang 019; Mengying Xie; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

An adaptive global-local interactive non-local boosting network for mixed noise removal. - Yuefei Zhang; Mengying Xie; Zhaoming Kong; Shaojiang Deng; Xiaowei Yang 003 (Expert Syst. Appl., 2025)

Unsupervised feature selection with evolutionary sparsity. - Shixuan Zhou; Yi Xiang; Han Huang 002; Pei Huang 019; Chaoda Peng; Xiaowei Yang 003; Peng Song (Neural Networks, 2025)

A Low-Cost Feature Interaction Fault Localization Approach for Software Product Lines. - Haining Wang 006; Yi Xiang; Han Huang 002; Jie Cao; Kaichen Chen; Xiaowei Yang 003 (Proc. ACM Softw. Eng., 2025)

Image Denoising Using Green Channel Prior. - Zhaoming Kong; Fangxi Deng; Xiaowei Yang 003 (IEEE Trans. Image Process., 2025)

Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning. - Pei Huang 019; Zhaoming Kong; Limin Wang 011; Xuming Han; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep domain adaptation by joint distribution neural matching. - Zijie Hong; Sentao Chen; Lisheng Wen; Xiaowei Yang 003 (Neural Comput. Appl., 2025)