Zhiji Yang

Orcid: 0000-0003-4288-9154

According to our database1, Zhiji Yang authored at least 20 papers between 2015 and 2024.

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

Timeline

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Links

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Bibliography

2024
Matrix-based vs. vector-based linear discriminant analysis: A comparison of regularized variants on multivariate time series data.
Inf. Sci., January, 2024

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

2023
A Complete Deep Support Vector Data Description for One Class Learning.
IEEE Access, 2023

2022
Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data.
CoRR, 2022

Deep Twin Support Vector Networks.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Machine learning method to explore the process conditions of ethanol catalytic coupling to prepare C4 olefins.
Proceedings of the CAIBDA 2022, 2022

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

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

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

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

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


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