Fault Diagnosis System Based on Rough Set Theory and Support Vector Machine. - Yitian Xu; Laisheng Wang (FSKD (2), 2005)

Fuzzy Comprehensive Evaluation Model based on Rough Set Theory. - Yitian Xu; Laisheng Wang (IEEE ICCI, 2006)

Rough Set Theory-based Multi-class Decision Attribute Reduction Algorithm and Its Application. - Yitian Xu; Laisheng Wang; Yanping Sheng (IEEE ICCI, 2006)

Robust Object Detection Based on Decision Trees and a New Cascade Architecture. - Zhiquan Qi; Laisheng Wang; Yitian Xu; Ping Zhong (CIMCA/IAWTIC/ISE, 2008)

Classification Algorithm Based on Feature Selection and Samples Selection. - Yitian Xu; Ling Zhen; Liming Yang; Laisheng Wang (ISNN (2), 2009)

Time Series Prediction Based on Generalization Bounds for Support Vector Machine. - Liming Yang; Laisheng Wang; Yitian Xu; Qun Sun (ISNN (2), 2009)

Rough Margin-Based Linear v Support Vector Machine. - Yitian Xu; Haozhi Zhang; Laisheng Wang (J. Convergence Inf. Technol., 2010)

Online multiple instance boosting for object detection. - Zhiquan Qi; Yitian Xu; Laisheng Wang; Ye Song (Neurocomputing, 2011)

A dynamic attribute reduction algorithm based on 0-1 integer programming. - Yitian Xu; Laisheng Wang; Ruiyan Zhang (Knowl. Based Syst., 2011)

A weighted twin support vector regression. - Yitian Xu; Laisheng Wang (Knowl. Based Syst., 2012)

A rough margin-based ν-twin support vector machine. - Yitian Xu; Laisheng Wang; Ping Zhong (Neural Comput. Appl., 2012)

Training twin support vector regression via linear programming. - Ping Zhong; Yitian Xu; Yaohong Zhao (Neural Comput. Appl., 2012)

A Twin Multi-Class Classification Support Vector Machine. - Yitian Xu; Rui Guo; Laisheng Wang (Cogn. Comput., 2013)

A rough margin-based one class support vector machine. - Yitian Xu; Chunmei Liu (Neural Comput. Appl., 2013)

An improved ν-twin support vector machine. - Yitian Xu; Rui Guo (Appl. Intell., 2014)

K-nearest neighbor-based weighted twin support vector regression. - Yitian Xu; Laisheng Wang (Appl. Intell., 2014)

A twin hyper-sphere multi-class classification support vector machine. - Yitian Xu; Rui Guo (J. Intell. Fuzzy Syst., 2014)

A Weighted Least Squares Twin Support Vector Machine. - Yitian Xu; Xin Lv; Zheng Wang; Laisheng Wang (J. Inf. Sci. Eng., 2014)

KNN-based weighted rough ν-twin support vector machine. - Yitian Xu; Jia Yu; Yuqun Zhang (Knowl. Based Syst., 2014)

Structural least square twin support vector machine for classification. - Yitian Xu; Xianli Pan; Zhijian Zhou; Zhiji Yang; Yuqun Zhang (Appl. Intell., 2015)

Imbalanced and semi-supervised classification for prognosis of ACLF. - Yitian Xu; Yuqun Zhang; Zhiji Yang; Xianli Pan; Guohui Li (J. Intell. Fuzzy Syst., 2015)

A novel twin support vector regression. - Yitian Xu (J. Inf. Sci. Eng., 2015)

K-nearest neighbor based structural twin support vector machine. - Xianli Pan; Yao Luo; Yitian Xu (Knowl. Based Syst., 2015)

ν-twin support vector machine with Universum data for classification. - Yitian Xu; Mei Chen; Zhiji Yang; Guohui Li (Appl. Intell., 2016)

Nonparallel least square support vector machine for classification. - Jiang Zhao; Zhiji Yang; Yitian Xu (Appl. Intell., 2016)

K-nearest neighbor-based weighted multi-class twin support vector machine. - Yitian Xu (Neurocomputing, 2016)

Laplacian twin parametric-margin support vector machine for semi-supervised classification. - Zhiji Yang; Yitian Xu (Neurocomputing, 2016)

Least squares twin support vector machine with Universum data for classification. - Yitian Xu; Mei Chen; Guohui Li (Int. J. Syst. Sci., 2016)

Two effective sample selection methods for support vector machine. - Xianli Pan; Yitian Xu (J. Intell. Fuzzy Syst., 2016)

A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification. - Yitian Xu; Zhiji Yang; Yuqun Zhang; Xianli Pan; Laisheng Wang (Knowl. Based Syst., 2016)

Twin support vector regression with Huber loss. - Jiayi Niu; Jing Chen; Yitian Xu (J. Intell. Fuzzy Syst., 2017)

A safe sample screening rule for Universum support vector machines. - Jiang Zhao; Yitian Xu (Knowl. Based Syst., 2017)

Maximum Margin of Twin Spheres Support Vector Machine for Imbalanced Data Classification. - Yitian Xu (IEEE Trans. Cybern., 2017)

A Novel Twin Support-Vector Machine With Pinball Loss. - Yitian Xu; Zhiji Yang; Xianli Pan (IEEE Trans. Neural Networks Learn. Syst., 2017)

An improved ν-twin bounded support vector machine. - Huiru Wang; Zhijian Zhou; Yitian Xu (Appl. Intell., 2018)

Maximum margin of twin spheres machine with pinball loss for imbalanced data classification. - Yitian Xu; Qian Wang; Xinying Pang; Ying Tian (Appl. Intell., 2018)

A safe screening rule for Laplacian support vector machine. - Zhiji Yang; Yitian Xu (Eng. Appl. Artif. Intell., 2018)

A safe screening based framework for support vector regression. - Xianli Pan; Xinying Pang; Hongmei Wang; Yitian Xu (Neurocomputing, 2018)

Scaling up twin support vector regression with safe screening rule. - Hongmei Wang; Yitian Xu (Inf. Sci., 2018)

Scaling KNN multi-class twin support vector machine via safe instance reduction. - Xinying Pang; Chang Xu; Yitian Xu (Knowl. Based Syst., 2018)

Piecewise linear solution path for pinball twin support vector machine. - Zhiji Yang; Xianli Pan; Yitian Xu (Knowl. Based Syst., 2018)

A safe accelerative approach for pinball support vector machine classifier. - Zhiji Yang; Yitian Xu (Knowl. Based Syst., 2018)

Asymmetric ν-twin support vector regression. - Yitian Xu; Xiaoyan Li; Xianli Pan; Zhiji Yang (Neural Comput. Appl., 2018)

A safe sample screening rule for Laplacian twin parametric-margin support vector machine. - Zhiji Yang; Yitian Xu (Pattern Recognit., 2018)

Safe Screening Rules for Accelerating Twin Support Vector Machine Classification. - Xianli Pan; Zhiji Yang; Yitian Xu; Laisheng Wang (IEEE Trans. Neural Networks Learn. Syst., 2018)

An efficient regularized K-nearest neighbor structural twin support vector machine. - Fan Xie 004; Yitian Xu (Appl. Intell., 2019)

E-ENDPP: a safe feature selection rule for speeding up Elastic Net. - Yitian Xu; Ying Tian; Xianli Pan; Hongmei Wang (Appl. Intell., 2019)

Multi-task least squares twin support vector machine for classification. - Benshan Mei; Yitian Xu (Neurocomputing, 2019)

A safe reinforced feature screening strategy for lasso based on feasible solutions. - Xianli Pan; Yitian Xu (Inf. Sci., 2019)

An improved non-parallel Universum support vector machine and its safe sample screening rule. - Jiang Zhao; Yitian Xu; Hamido Fujita (Knowl. Based Syst., 2019)

Accelerating improved twin support vector machine with safe screening rule. - Weichen Wu; Yitian Xu (Int. J. Mach. Learn. Cybern., 2019)

KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification. - Yitian Xu; Yuqun Zhang; Jiang Zhao; Zhiji Yang; Xianli Pan (Int. J. Mach. Learn. Cybern., 2019)

Concave-Convex Programming for Ramp Loss-Based Maximum Margin and Minimum Volume Twin Spheres Machine. - Qian Wang; Yitian Xu (Neural Process. Lett., 2019)

Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines. - Xinying Pang; Xianli Pan; Yitian Xu (Pattern Recognit., 2019)

A safe screening rule for accelerating weighted twin support vector machine. - Xinying Pang; Yitian Xu (Soft Comput., 2019)

A Novel and Safe Two-Stage Screening Method for Support Vector Machine. - Xianli Pan; Yitian Xu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Simultaneous Safe Feature and Sample Elimination for Sparse Support Vector Regression. - Hongmei Wang; Xianli Pan; Yitian Xu (IEEE Trans. Signal Process., 2019)

Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models. - Yuzhou Cao; Yitian Xu (CoRR, 2020)

Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine. - Yuzhou Cao; Yitian Xu; Junling Du (Knowl. Based Syst., 2020)

Safe sample screening for regularized multi-task learning. - Benshan Mei; Yitian Xu (Knowl. Based Syst., 2020)

Predicting hypoglycemic drugs of type 2 diabetes based on weighted rank support vector machine. - Xinye Wang; Yi Yang; Yitian Xu; Qian Chen; Hongmei Wang; Huafang Gao (Knowl. Based Syst., 2020)

Multi-task ν-twin support vector machines. - Benshan Mei; Yitian Xu (Neural Comput. Appl., 2020)

Learning from Similarity-Confidence Data. - Yuzhou Cao; Lei Feng 006; Yitian Xu; Bo An 001; Gang Niu 001; Masashi Sugiyama (ICML, 2021)

Multi-parameter safe screening rule for hinge-optimal margin distribution machine. - Mengdan Ma; Yitian Xu (Appl. Intell., 2021)

Diagnosis of complications of type 2 diabetes based on weighted multi-label small sphere and large margin machine. - Hongmei Wang; Yitian Xu; Qian Chen; Xinye Wang (Appl. Intell., 2021)

Multi-target regression via self-parameterized Lasso and refactored target space. - Xinshuang Xiao; Yitian Xu (Appl. Intell., 2021)

A rough margin-based multi-task ν-twin support vector machine for pattern classification. - Ran An; Yitian Xu; Xuhua Liu (Appl. Soft Comput., 2021)

Sparse elastic net multi-label rank support vector machine with pinball loss and its applications. - Hongmei Wang; Yitian Xu (Appl. Soft Comput., 2021)

Multi-Class Classification from Single-Class Data with Confidences. - Yuzhou Cao; Lei Feng 006; Senlin Shu; Yitian Xu; Bo An 001; Gang Niu 001; Masashi Sugiyama (CoRR, 2021)

A hybrid acceleration strategy for nonparallel support vector machine. - Weichen Wu; Yitian Xu; Xinying Pang (Inf. Sci., 2021)

Safe instance screening for primal multi-label ProSVM. - Ying Zhang 064; Yitian Xu; Chang Xu; Peiwei Zhong (Knowl. Based Syst., 2021)

A two-stage safe screening method for non-convex support vector machine with ramp loss. - Jie Zhao; Yitian Xu; Chang Xu; Ting Wang (Knowl. Based Syst., 2021)

Twin-parametric margin support vector machine with truncated pinball loss. - Huiru Wang; Yitian Xu; Zhijian Zhou (Neural Comput. Appl., 2021)

Pinball loss-based multi-task twin support vector machine and its safe acceleration method. - Fan Xie 004; Xinying Pang; Yitian Xu (Neural Comput. Appl., 2021)

Instance elimination strategy for non-convex multiple-instance learning using sparse positive bags. - Min Yuan; Yitian Xu; Renxiu Feng; Zongmin Liu (Neural Networks, 2021)

Bound estimation-based safe acceleration for maximum margin of twin spheres machine with pinball loss. - Min Yuan; Yitian Xu (Pattern Recognit., 2021)

A Doubly Sparse Multiclass Support Vector Machine With Simultaneous Feature and Sample Screening. - Xinying Pang; Yitian Xu; Xinshuang Xiao (IEEE Trans. Syst. Man Cybern. Syst., 2021)

MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion. - Jing Wang; Haotian Fan; Xiaoxia Hou; Yitian Xu; Tao Li; Xuechao Lu; Lean Fu (CVPR Workshops, 2022)

A novel self-weighted Lasso and its safe screening rule. - Xinshuang Xiao; Yitian Xu; Ying Zhang 064; Peiwei Zhong (Appl. Intell., 2022)

Multi-task nonparallel support vector machine for classification. - Zongmin Liu; Yitian Xu (Appl. Soft Comput., 2022)

Instance elimination strategy for non-convex multiple-instance support vector machine. - Min Yuan; Yitian Xu (Appl. Soft Comput., 2022)

A novel multi-task twin-hypersphere support vector machine for classification. - Xinying Pang; Ying Zhang; Yitian Xu (Inf. Sci., 2022)

A safe double screening strategy for elastic net support vector machine. - Hongmei Wang; Yitian Xu (Inf. Sci., 2022)

A safe acceleration method for multi-task twin support vector machine. - Fan Xie 004; Yitian Xu; Mengdan Ma; Xinying Pang (Int. J. Mach. Learn. Cybern., 2022)

Support matrix machine with pinball loss for classification. - Renxiu Feng; Yitian Xu (Neural Comput. Appl., 2022)

A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration. - Xinying Pang; Jiang Zhao; Yitian Xu (Neural Networks, 2022)

Sequential safe feature elimination rule for L1-regularized regression with Kullback-Leibler divergence. - Hongmei Wang; Kun Jiang; Yitian Xu (Neural Networks, 2022)

A Safe Feature Elimination Rule for $L_{1}$L1-Regularized Logistic Regression. - Xianli Pan; Yitian Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multi-complementary and unlabeled learning for arbitrary losses and models. - Yuzhou Cao; Shuqi Liu 002; Yitian Xu (Pattern Recognit., 2022)

Ramp loss KNN-weighted multi-class twin support vector machine. - Huiru Wang; Yitian Xu; Zhijian Zhou (Soft Comput., 2022)

Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification. - Ting Wang; Yitian Xu; Xuhua Liu (Appl. Intell., 2023)

A two-stage gap safe screening rule for multi-label optimal margin distribution machine. - Mengdan Ma; Yitian Xu (Eng. Appl. Artif. Intell., 2023)

A reconstructed feasible solution-based safe feature elimination rule for expediting multi-task lasso. - Xinying Pang; Yitian Xu (Inf. Sci., 2023)

A non-convex robust small sphere and large margin support vector machine for imbalanced data classification. - Yahui Wang; Yitian Xu (Neural Comput. Appl., 2023)

Subspace screening rule for multi-label estimator with sparsity-inducing regularization. - Peiwei Zhong; Yitian Xu (Neurocomputing, 2023)

CovidViT: a novel neural network with self-attention mechanism to detect Covid-19 through X-ray images. - Hang Yang; Liyang Wang; Yitian Xu; Xuhua Liu (Int. J. Mach. Learn. Cybern., 2023)

Label Pair of Instances-Based Safe Screening for Multilabel Rank Support Vector Machine. - Xinye Wang; Yitian Xu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Multi-task twin bounded support vector machine and its safe screening rule. - Ran An; Yitian Xu; Xuhua Liu (Appl. Soft Comput., 2023)

Feature screening strategy for non-convex sparse logistic regression with log sum penalty. - Min Yuan; Yitian Xu (Inf. Sci., 2023)

Robust and unbiased positive and unlabeled learning. - Yinjie Liu; Jie Zhao; Yitian Xu (Knowl. Based Syst., 2023)

Support matrix machine with truncated pinball loss for classification. - Huiyi Li; Yitian Xu (Appl. Soft Comput., 2024)

Multi-task label noise learning for classification. - Zongmin Liu; Ziyi Wang; Ting Wang; Yitian Xu (Eng. Appl. Artif. Intell., 2024)

PRIS: Practical robust invertible network for image steganography. - Hang Yang; Yitian Xu; Xuhua Liu; Xiaodong Ma (Eng. Appl. Artif. Intell., 2024)

A log-based non-convex relaxation regularized regression for robust face recognition. - Ruonan Liu; Yitian Xu (Inf. Sci., 2024)

Imbalanced and missing multi-label data learning with global and local structure. - Xinpei Su; Yitian Xu (Inf. Sci., 2024)

A two-stage multi-view partial multi-label learning for enhanced disambiguation. - Ziyi Wang; Yitian Xu (Knowl. Based Syst., 2024)

MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule. - Xinying Pang; Chang Xu; Yitian Xu (Neural Networks, 2024)

Sequential safe static and dynamic screening rule for accelerating support tensor machine. - Hongmei Wang; Kun Jiang; Xiao Li; Yitian Xu (Neural Networks, 2024)

A safe screening rule with bi-level optimization of ν support vector machine. - Zhiji Yang; Wanyi Chen; Huan Zhang; Yitian Xu; Lei Shi 004; Jianhua Zhao (Pattern Recognit., 2024)

Multiple instance learning from similarity-confidence bags. - Xuan Zhang; Yitian Xu; Xuhua Liu (Pattern Recognit., 2024)

Multiview Structural Large Margin Classifier and its Safe Acceleration Strategy. - Jie Zhao; Yitian Xu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fire classification and detection in imbalanced remote sensing images using a three-sphere model combined with YOLOv5. - Zidong Nie; Yitian Xu; Jie Zhao; Min Yuan (Appl. Soft Comput., 2025)

Multiple instance learning with noisy labels based on symmetry loss. - Xuan Zhang; Yitian Xu; Xuhua Liu (Appl. Soft Comput., 2025)

Multi-view anchor graph regularization induced unbiased learning for positive and unlabeled problem. - Jie Zhao; Xiao Li; Yitian Xu; Min Yuan (Appl. Soft Comput., 2025)

Multi-instance learning in the presence of positive and unlabeled bags. - Min Yuan; Yitian Xu; Jie Zhao (Expert Syst. Appl., 2025)

Subspace screening rule for low-rank tensor completion with tensor nuclear norm. - Haotian Chen; Yitian Xu (Neurocomputing, 2025)

Dynamic label relaxation induced discriminative regression for multi-view multi-label classification. - Jie Zhao; Yitian Xu (Knowl. Based Syst., 2025)

Safe and accelerated screening framework for support tensor machines. - Xiao Li; Hongmei Wang; Yitian Xu (Neural Networks, 2025)

DKiS: Decay weight invertible image steganography with private key. - Hang Yang; Yitian Xu; Xuhua Liu (Neural Networks, 2025)

Non-conservative screening rule for sparse tensor regression. - Ruijie Liu; Yitian Xu (Pattern Recognit., 2025)

Sparse pinball Universum nonparallel support vector machine and its safe screening rule. - Hongmei Wang; Ping Li; Yuyan Zheng; Kun Jiang; Yitian Xu (Appl. Intell., 2025)