Yitian Xu

According to our database, Yitian Xu authored at least 113 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multi-instance learning in the presence of positive and unlabeled bags.

Min Yuan, Yitian Xu, Jie Zhao

Expert Syst. Appl., 2025

2024

Multiview Structural Large Margin Classifier and its Safe Acceleration Strategy.

Jie Zhao, Yitian Xu

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Multiple instance learning from similarity-confidence bags.

Xuan Zhang, Yitian Xu, Xuhua Liu

Pattern Recognit., February, 2024

A safe screening rule with bi-level optimization of ν support vector machine.

Zhiji Yang, Wanyi Chen, Huan Zhang, Yitian Xu, Lei Shi, Jianhua Zhao

Pattern Recognit., 2024

Sequential safe static and dynamic screening rule for accelerating support tensor machine.

Hongmei Wang, Kun Jiang, Xiao Li, Yitian Xu

Neural Networks, 2024

MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule.

Xinying Pang, Chang Xu, Yitian Xu

Neural Networks, 2024

A two-stage multi-view partial multi-label learning for enhanced disambiguation.

Ziyi Wang, Yitian Xu

Knowl. Based Syst., 2024

Imbalanced and missing multi-label data learning with global and local structure.

Xinpei Su, Yitian Xu

Inf. Sci., 2024

A log-based non-convex relaxation regularized regression for robust face recognition.

Ruonan Liu, Yitian Xu

Inf. Sci., 2024

PRIS: Practical robust invertible network for image steganography.

Hang Yang, Yitian Xu, Xuhua Liu, Xiaodong Ma

Eng. Appl. Artif. Intell., 2024

Multi-task label noise learning for classification.

Zongmin Liu, Ziyi Wang, Ting Wang, Yitian Xu

Eng. Appl. Artif. Intell., 2024

Support matrix machine with truncated pinball loss for classification.

Huiyi Li, Yitian Xu

Appl. Soft Comput., 2024

2023

Robust and unbiased positive and unlabeled learning.

Yinjie Liu, Jie Zhao, Yitian Xu

Knowl. Based Syst., October, 2023

Feature screening strategy for non-convex sparse logistic regression with log sum penalty.

Min Yuan, Yitian Xu

Inf. Sci., May, 2023

Multi-task twin bounded support vector machine and its safe screening rule.

Ran An, Yitian Xu, Xuhua Liu

Appl. Soft Comput., May, 2023

Label Pair of Instances-Based Safe Screening for Multilabel Rank Support Vector Machine.

Xinye Wang, Yitian Xu

IEEE Trans. Syst. Man Cybern. Syst., March, 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., March, 2023

Subspace screening rule for multi-label estimator with sparsity-inducing regularization.

Peiwei Zhong, Yitian Xu

Neurocomputing, March, 2023

A non-convex robust small sphere and large margin support vector machine for imbalanced data classification.

Yahui Wang, Yitian Xu

Neural Comput. Appl., February, 2023

A reconstructed feasible solution-based safe feature elimination rule for expediting multi-task lasso.

Xinying Pang, Yitian Xu

Inf. Sci., 2023

A two-stage gap safe screening rule for multi-label optimal margin distribution machine.

Mengdan Ma, Yitian Xu

Eng. Appl. Artif. Intell., 2023

DKiS: Decay weight invertible image steganography with private key.

Hang Yang, Yitian Xu, Xuhua Liu

CoRR, 2023

Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification.

Ting Wang, Yitian Xu, Xuhua Liu

Appl. Intell., 2023

2022

Ramp loss KNN-weighted multi-class twin support vector machine.

Huiru Wang, Yitian Xu, Zhijian Zhou

Soft Comput., 2022

Multi-complementary and unlabeled learning for arbitrary losses and models.

Yuzhou Cao, Shuqi Liu, Yitian Xu

Pattern Recognit., 2022

A Safe Feature Elimination Rule for $L_{1}$L1-Regularized Logistic Regression.

Xianli Pan, Yitian Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Sequential safe feature elimination rule for L1-regularized regression with Kullback-Leibler divergence.

Hongmei Wang, Kun Jiang, Yitian Xu

Neural Networks, 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

Support matrix machine with pinball loss for classification.

Renxiu Feng, Yitian Xu

Neural Comput. Appl., 2022

A safe acceleration method for multi-task twin support vector machine.

Fan Xie, Yitian Xu, Mengdan Ma, Xinying Pang

Int. J. Mach. Learn. Cybern., 2022

A safe double screening strategy for elastic net support vector machine.

Hongmei Wang, Yitian Xu

Inf. Sci., 2022

A novel multi-task twin-hypersphere support vector machine for classification.

Xinying Pang, Ying Zhang, Yitian Xu

Inf. Sci., 2022

Instance elimination strategy for non-convex multiple-instance support vector machine.

Min Yuan, Yitian Xu

Appl. Soft Comput., 2022

Multi-task nonparallel support vector machine for classification.

Zongmin Liu, Yitian Xu

Appl. Soft Comput., 2022

A novel self-weighted Lasso and its safe screening rule.

Xinshuang Xiao, Yitian Xu, Ying Zhang, Peiwei Zhong

Appl. Intell., 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

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

Bound estimation-based safe acceleration for maximum margin of twin spheres machine with pinball loss.

Min Yuan, Yitian Xu

Pattern Recognit., 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

Pinball loss-based multi-task twin support vector machine and its safe acceleration method.

Fan Xie, Xinying Pang, Yitian Xu

Neural Comput. Appl., 2021

Twin-parametric margin support vector machine with truncated pinball loss.

Huiru Wang, Yitian Xu, Zhijian Zhou

Neural Comput. Appl., 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

Safe instance screening for primal multi-label ProSVM.

Ying Zhang, Yitian Xu, Chang Xu, Peiwei Zhong

Knowl. Based Syst., 2021

A hybrid acceleration strategy for nonparallel support vector machine.

Weichen Wu, Yitian Xu, Xinying Pang

Inf. Sci., 2021

Multi-Class Classification from Single-Class Data with Confidences.

Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama

CoRR, 2021

Sparse elastic net multi-label rank support vector machine with pinball loss and its applications.

Hongmei Wang, Yitian Xu

Appl. Soft Comput., 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

Multi-target regression via self-parameterized Lasso and refactored target space.

Xinshuang Xiao, 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-parameter safe screening rule for hinge-optimal margin distribution machine.

Mengdan Ma, Yitian Xu

Appl. Intell., 2021

Learning from Similarity-Confidence Data.

Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Multi-task ν-twin support vector machines.

Benshan Mei, Yitian Xu

Neural Comput. Appl., 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

Safe sample screening for regularized multi-task learning.

Benshan Mei, Yitian Xu

Knowl. Based Syst., 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

Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models.

Yuzhou Cao, Yitian Xu

CoRR, 2020

2019

Simultaneous Safe Feature and Sample Elimination for Sparse Support Vector Regression.

Hongmei Wang, Xianli Pan, Yitian Xu

IEEE Trans. Signal Process., 2019

A Novel and Safe Two-Stage Screening Method for Support Vector Machine.

Xianli Pan, Yitian Xu

IEEE Trans. Neural Networks Learn. Syst., 2019

A safe screening rule for accelerating weighted twin support vector machine.

Xinying Pang, Yitian Xu

Soft Comput., 2019

Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines.

Xinying Pang, Xianli Pan, Yitian Xu

Pattern Recognit., 2019

Concave-Convex Programming for Ramp Loss-Based Maximum Margin and Minimum Volume Twin Spheres Machine.

Qian Wang, Yitian Xu

Neural Process. Lett., 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

Accelerating improved twin support vector machine with safe screening rule.

Weichen Wu, Yitian Xu

Int. J. Mach. Learn. Cybern., 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

A safe reinforced feature screening strategy for lasso based on feasible solutions.

Xianli Pan, Yitian Xu

Inf. Sci., 2019

Multi-task least squares twin support vector machine for classification.

Benshan Mei, Yitian Xu

Neurocomputing, 2019

E-ENDPP: a safe feature selection rule for speeding up Elastic Net.

Yitian Xu, Ying Tian, Xianli Pan, Hongmei Wang

Appl. Intell., 2019

An efficient regularized K-nearest neighbor structural twin support vector machine.

Fan Xie, Yitian Xu

Appl. Intell., 2019

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

A safe sample screening rule for Laplacian twin parametric-margin support vector machine.

Zhiji Yang, Yitian Xu

Pattern Recognit., 2018

Asymmetric ν-twin support vector regression.

Yitian Xu, Xiaoyan Li, Xianli Pan, Zhiji Yang

Neural Comput. Appl., 2018

A safe accelerative approach for pinball support vector machine classifier.

Zhiji Yang, 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

Scaling KNN multi-class twin support vector machine via safe instance reduction.

Xinying Pang, Chang Xu, Yitian Xu

Knowl. Based Syst., 2018

Scaling up twin support vector regression with safe screening rule.

Hongmei Wang, Yitian Xu

Inf. Sci., 2018

A safe screening based framework for support vector regression.

Xianli Pan, Xinying Pang, Hongmei Wang, Yitian Xu

Neurocomputing, 2018

A safe screening rule for Laplacian support vector machine.

Zhiji Yang, Yitian Xu

Eng. Appl. Artif. 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

An improved ν-twin bounded support vector machine.

Huiru Wang, Zhijian Zhou, Yitian Xu

Appl. Intell., 2018

2017

A Novel Twin Support-Vector Machine With Pinball Loss.

Yitian Xu, Zhiji Yang, Xianli Pan

IEEE Trans. Neural Networks Learn. Syst., 2017

Maximum Margin of Twin Spheres Support Vector Machine for Imbalanced Data Classification.

Yitian Xu

IEEE Trans. Cybern., 2017

A safe sample screening rule for Universum support vector machines.

Jiang Zhao, Yitian Xu

Knowl. Based Syst., 2017

Twin support vector regression with Huber loss.

Jiayi Niu, Jing Chen, Yitian Xu

J. Intell. Fuzzy Syst., 2017

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

Two effective sample selection methods for support vector machine.

Xianli Pan, Yitian Xu

J. Intell. Fuzzy Syst., 2016

Least squares twin support vector machine with Universum data for classification.

Yitian Xu, Mei Chen, Guohui Li

Int. J. Syst. Sci., 2016

Laplacian twin parametric-margin support vector machine for semi-supervised classification.

Zhiji Yang, Yitian Xu

Neurocomputing, 2016

K-nearest neighbor-based weighted multi-class twin support vector machine.

Yitian Xu

Neurocomputing, 2016

Nonparallel least square support vector machine for classification.

Jiang Zhao, Zhiji Yang, Yitian Xu

Appl. Intell., 2016

ν-twin support vector machine with Universum data for classification.

Yitian Xu, Mei Chen, Zhiji Yang, Guohui Li

Appl. Intell., 2016

2015

K-nearest neighbor based structural twin support vector machine.

Xianli Pan, Yao Luo, Yitian Xu

Knowl. Based Syst., 2015

A novel twin support vector regression.

Yitian Xu

J. Inf. Sci. Eng., 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

Structural least square twin support vector machine for classification.

Yitian Xu, Xianli Pan, Zhijian Zhou, Zhiji Yang, Yuqun Zhang

Appl. Intell., 2015

2014

KNN-based weighted rough ν-twin support vector machine.

Yitian Xu, Jia Yu, Yuqun Zhang

Knowl. Based Syst., 2014

A Weighted Least Squares Twin Support Vector Machine.

Yitian Xu, Xin Lv, Zheng Wang, Laisheng Wang

J. Inf. Sci. Eng., 2014

A twin hyper-sphere multi-class classification support vector machine.

Yitian Xu, Rui Guo

J. Intell. Fuzzy Syst., 2014

K-nearest neighbor-based weighted twin support vector regression.

Yitian Xu, Laisheng Wang

Appl. Intell., 2014

An improved ν-twin support vector machine.

Yitian Xu, Rui Guo

Appl. Intell., 2014

2013

A rough margin-based one class support vector machine.

Yitian Xu, Chunmei Liu

Neural Comput. Appl., 2013

A Twin Multi-Class Classification Support Vector Machine.

Yitian Xu, Rui Guo, Laisheng Wang

Cogn. Comput., 2013

2012

Training twin support vector regression via linear programming.

Ping Zhong, Yitian Xu, Yaohong Zhao

Neural Comput. Appl., 2012

A rough margin-based ν-twin support vector machine.

Yitian Xu, Laisheng Wang, Ping Zhong

Neural Comput. Appl., 2012

A weighted twin support vector regression.

Yitian Xu, Laisheng Wang

Knowl. Based Syst., 2012

2011

A dynamic attribute reduction algorithm based on 0-1 integer programming.

Yitian Xu, Laisheng Wang, Ruiyan Zhang

Knowl. Based Syst., 2011

Online multiple instance boosting for object detection.

Zhiquan Qi, Yitian Xu, Laisheng Wang, Ye Song

Neurocomputing, 2011

2010

Rough Margin-Based Linear v Support Vector Machine.

Yitian Xu, Haozhi Zhang, Laisheng Wang

J. Convergence Inf. Technol., 2010

2009

Time Series Prediction Based on Generalization Bounds for Support Vector Machine.

Liming Yang, Laisheng Wang, Yitian Xu, Qun Sun

Proceedings of the Advances in Neural Networks, 2009

Classification Algorithm Based on Feature Selection and Samples Selection.

Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang

Proceedings of the Advances in Neural Networks, 2009

2008

Robust Object Detection Based on Decision Trees and a New Cascade Architecture.

Zhiquan Qi, Laisheng Wang, Yitian Xu, Ping Zhong

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2006

Rough Set Theory-based Multi-class Decision Attribute Reduction Algorithm and Its Application.

Yitian Xu, Laisheng Wang, Yanping Sheng

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

Fuzzy Comprehensive Evaluation Model based on Rough Set Theory.

Yitian Xu, Laisheng Wang

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005

Fault Diagnosis System Based on Rough Set Theory and Support Vector Machine.

Yitian Xu, Laisheng Wang

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005