Yitian Xu

Orcid: 0000-0001-7577-4420

According to our database1, Yitian Xu authored at least 104 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multiple instance learning from similarity-confidence bags.
Pattern Recognit., February, 2024

A Safe Screening Rule with Bi-level Optimization of ν Support Vector Machine.
CoRR, 2024

2023
Robust and unbiased positive and unlabeled learning.
Knowl. Based Syst., October, 2023

Feature screening strategy for non-convex sparse logistic regression with log sum penalty.
Inf. Sci., May, 2023

Multi-task twin bounded support vector machine and its safe screening rule.
Appl. Soft Comput., May, 2023

Label Pair of Instances-Based Safe Screening for Multilabel Rank Support Vector Machine.
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.
Int. J. Mach. Learn. Cybern., March, 2023

Subspace screening rule for multi-label estimator with sparsity-inducing regularization.
Neurocomputing, March, 2023

A non-convex robust small sphere and large margin support vector machine for imbalanced data classification.
Neural Comput. Appl., February, 2023

A reconstructed feasible solution-based safe feature elimination rule for expediting multi-task lasso.
Inf. Sci., 2023

A two-stage gap safe screening rule for multi-label optimal margin distribution machine.
Eng. Appl. Artif. Intell., 2023

DKiS: Decay weight invertible image steganography with private key.
CoRR, 2023

PRIS: Practical robust invertible network for image steganography.
CoRR, 2023

Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification.
Appl. Intell., 2023

2022
Ramp loss KNN-weighted multi-class twin support vector machine.
Soft Comput., 2022

Multi-complementary and unlabeled learning for arbitrary losses and models.
Pattern Recognit., 2022

A Safe Feature Elimination Rule for $L_{1}$L1-Regularized Logistic Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Sequential safe feature elimination rule for L1-regularized regression with Kullback-Leibler divergence.
Neural Networks, 2022

A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration.
Neural Networks, 2022

Support matrix machine with pinball loss for classification.
Neural Comput. Appl., 2022

A safe acceleration method for multi-task twin support vector machine.
Int. J. Mach. Learn. Cybern., 2022

A safe double screening strategy for elastic net support vector machine.
Inf. Sci., 2022

A novel multi-task twin-hypersphere support vector machine for classification.
Inf. Sci., 2022

Instance elimination strategy for non-convex multiple-instance support vector machine.
Appl. Soft Comput., 2022

Multi-task nonparallel support vector machine for classification.
Appl. Soft Comput., 2022

A novel self-weighted Lasso and its safe screening rule.
Appl. Intell., 2022

MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion.
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.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Bound estimation-based safe acceleration for maximum margin of twin spheres machine with pinball loss.
Pattern Recognit., 2021

Instance elimination strategy for non-convex multiple-instance learning using sparse positive bags.
Neural Networks, 2021

Pinball loss-based multi-task twin support vector machine and its safe acceleration method.
Neural Comput. Appl., 2021

Twin-parametric margin support vector machine with truncated pinball loss.
Neural Comput. Appl., 2021

A two-stage safe screening method for non-convex support vector machine with ramp loss.
Knowl. Based Syst., 2021

Safe instance screening for primal multi-label ProSVM.
Knowl. Based Syst., 2021

A hybrid acceleration strategy for nonparallel support vector machine.
Inf. Sci., 2021

Multi-Class Classification from Single-Class Data with Confidences.
CoRR, 2021

Sparse elastic net multi-label rank support vector machine with pinball loss and its applications.
Appl. Soft Comput., 2021

A rough margin-based multi-task ν-twin support vector machine for pattern classification.
Appl. Soft Comput., 2021

Multi-target regression via self-parameterized Lasso and refactored target space.
Appl. Intell., 2021

Diagnosis of complications of type 2 diabetes based on weighted multi-label small sphere and large margin machine.
Appl. Intell., 2021

Multi-parameter safe screening rule for hinge-optimal margin distribution machine.
Appl. Intell., 2021

Learning from Similarity-Confidence Data.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Multi-task ν-twin support vector machines.
Neural Comput. Appl., 2020

Predicting hypoglycemic drugs of type 2 diabetes based on weighted rank support vector machine.
Knowl. Based Syst., 2020

Safe sample screening for regularized multi-task learning.
Knowl. Based Syst., 2020

Multi-variable estimation-based safe screening rule for small sphere and large margin support vector machine.
Knowl. Based Syst., 2020

Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models.
CoRR, 2020

2019
Simultaneous Safe Feature and Sample Elimination for Sparse Support Vector Regression.
IEEE Trans. Signal Process., 2019

A Novel and Safe Two-Stage Screening Method for Support Vector Machine.
IEEE Trans. Neural Networks Learn. Syst., 2019

A safe screening rule for accelerating weighted twin support vector machine.
Soft Comput., 2019

Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines.
Pattern Recognit., 2019

Concave-Convex Programming for Ramp Loss-Based Maximum Margin and Minimum Volume Twin Spheres Machine.
Neural Process. Lett., 2019

KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification.
Int. J. Mach. Learn. Cybern., 2019

Accelerating improved twin support vector machine with safe screening rule.
Int. J. Mach. Learn. Cybern., 2019

An improved non-parallel Universum support vector machine and its safe sample screening rule.
Knowl. Based Syst., 2019

A safe reinforced feature screening strategy for lasso based on feasible solutions.
Inf. Sci., 2019

Multi-task least squares twin support vector machine for classification.
Neurocomputing, 2019

E-ENDPP: a safe feature selection rule for speeding up Elastic Net.
Appl. Intell., 2019

An efficient regularized K-nearest neighbor structural twin support vector machine.
Appl. Intell., 2019

2018
Safe Screening Rules for Accelerating Twin Support Vector Machine Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

A safe sample screening rule for Laplacian twin parametric-margin support vector machine.
Pattern Recognit., 2018

Asymmetric ν-twin support vector regression.
Neural Comput. Appl., 2018

A safe accelerative approach for pinball support vector machine classifier.
Knowl. Based Syst., 2018

Piecewise linear solution path for pinball twin support vector machine.
Knowl. Based Syst., 2018

Scaling KNN multi-class twin support vector machine via safe instance reduction.
Knowl. Based Syst., 2018

Scaling up twin support vector regression with safe screening rule.
Inf. Sci., 2018

A safe screening based framework for support vector regression.
Neurocomputing, 2018

A safe screening rule for Laplacian support vector machine.
Eng. Appl. Artif. Intell., 2018

Maximum margin of twin spheres machine with pinball loss for imbalanced data classification.
Appl. Intell., 2018

An improved ν-twin bounded support vector machine.
Appl. Intell., 2018

2017
A Novel Twin Support-Vector Machine With Pinball Loss.
IEEE Trans. Neural Networks Learn. Syst., 2017

Maximum Margin of Twin Spheres Support Vector Machine for Imbalanced Data Classification.
IEEE Trans. Cybern., 2017

A safe sample screening rule for Universum support vector machines.
Knowl. Based Syst., 2017

Twin support vector regression with Huber loss.
J. Intell. Fuzzy Syst., 2017

2016
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification.
Knowl. Based Syst., 2016

Two effective sample selection methods for support vector machine.
J. Intell. Fuzzy Syst., 2016

Least squares twin support vector machine with Universum data for classification.
Int. J. Syst. Sci., 2016

Laplacian twin parametric-margin support vector machine for semi-supervised classification.
Neurocomputing, 2016

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

Nonparallel least square support vector machine for classification.
Appl. Intell., 2016

ν-twin support vector machine with Universum data for classification.
Appl. Intell., 2016

2015
K-nearest neighbor based structural twin support vector machine.
Knowl. Based Syst., 2015

A novel twin support vector regression.
J. Inf. Sci. Eng., 2015

Imbalanced and semi-supervised classification for prognosis of ACLF.
J. Intell. Fuzzy Syst., 2015

Structural least square twin support vector machine for classification.
Appl. Intell., 2015

2014
KNN-based weighted rough ν-twin support vector machine.
Knowl. Based Syst., 2014

A Weighted Least Squares Twin Support Vector Machine.
J. Inf. Sci. Eng., 2014

A twin hyper-sphere multi-class classification support vector machine.
J. Intell. Fuzzy Syst., 2014

K-nearest neighbor-based weighted twin support vector regression.
Appl. Intell., 2014

An improved ν-twin support vector machine.
Appl. Intell., 2014

2013
A rough margin-based one class support vector machine.
Neural Comput. Appl., 2013

A Twin Multi-Class Classification Support Vector Machine.
Cogn. Comput., 2013

2012
Training twin support vector regression via linear programming.
Neural Comput. Appl., 2012

A rough margin-based ν-twin support vector machine.
Neural Comput. Appl., 2012

A weighted twin support vector regression.
Knowl. Based Syst., 2012

2011
A dynamic attribute reduction algorithm based on 0-1 integer programming.
Knowl. Based Syst., 2011

Online multiple instance boosting for object detection.
Neurocomputing, 2011

2010
Rough Margin-Based Linear v Support Vector Machine.
J. Convergence Inf. Technol., 2010

2009
Time Series Prediction Based on Generalization Bounds for Support Vector Machine.
Proceedings of the Advances in Neural Networks, 2009

Classification Algorithm Based on Feature Selection and Samples Selection.
Proceedings of the Advances in Neural Networks, 2009

2008
Robust Object Detection Based on Decision Trees and a New Cascade Architecture.
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.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

Fuzzy Comprehensive Evaluation Model based on Rough Set Theory.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
Fault Diagnosis System Based on Rough Set Theory and Support Vector Machine.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005


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