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Liran Yang

Affiliations:
  • China Agricultural University, Beijing, China


According to our database1, Liran Yang authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation.
[BibTeX]
[DOI]
Yang Qu
,
Liran Yang
,
Ping Zhong
,
Qiuyue Li
Appl. Intell., October, 2024

Unsupervised domain adaptation via feature transfer learning based on elastic embedding.
[BibTeX]
[DOI]
Liran Yang
,
Bin Lu
,
Qinghua Zhou
,
Pan Su
Int. J. Mach. Learn. Cybern., August, 2024

Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation.
[BibTeX]
[DOI]
Liran Yang
,
Qinghua Zhou
,
Bin Lu
IEEE Trans. Neural Networks Learn. Syst., July, 2024

2023
Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity.
[BibTeX]
[DOI]
Liran Yang
,
Bin Lu
,
Qinghua Zhou
,
Pan Su
Knowl. Based Syst., March, 2023

2022
Transfer subspace learning joint low-rank representation and feature selection.
[BibTeX]
[DOI]
Liran Yang
,
Qinghua Zhou
Multim. Tools Appl., November, 2022

A supervised multi-view feature selection method based on locally sparse regularization and block computing.
[BibTeX]
[DOI]
Qiang Lin
,
Min Men
,
Liran Yang
,
Ping Zhong
Inf. Sci., 2022

2021
Transfer subspace learning based on structure preservation for JPEG image mismatched steganalysis.
[BibTeX]
[DOI]
Liran Yang
,
Min Men
,
Yiming Xue
,
Juan Wen
,
Ping Zhong
Signal Process. Image Commun., 2021

Robust multiview feature selection via view weighted.
[BibTeX]
[DOI]
Jing Zhong
,
Ping Zhong
,
Yimin Xu
,
Liran Yang
Multim. Tools Appl., 2021

Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion.
[BibTeX]
[DOI]
Qiang Lin
,
Liran Yang
,
Ping Zhong
,
Hui Zou
Knowl. Based Syst., 2021

A novel semi-supervised support vector machine with asymmetric squared loss.
[BibTeX]
[DOI]
Huimin Pei
,
Qiang Lin
,
Liran Yang
,
Ping Zhong
Adv. Data Anal. Classif., 2021

2020
Robust adaptation regularization based on within-class scatter for domain adaptation.
[BibTeX]
[DOI]
Liran Yang
,
Ping Zhong
Neural Networks, 2020

Low-rank representation-based regularized subspace learning method for unsupervised domain adaptation.
[BibTeX]
[DOI]
Liran Yang
,
Min Men
,
Yiming Xue
,
Ping Zhong
Multim. Tools Appl., 2020

Discriminative and informative joint distribution adaptation for unsupervised domain adaptation.
[BibTeX]
[DOI]
Liran Yang
,
Ping Zhong
Knowl. Based Syst., 2020

2019
A subspace learning-based method for JPEG mismatched steganalysis.
[BibTeX]
[DOI]
Yiming Xue
,
Liran Yang
,
Juan Wen
,
Shaozhang Niu
,
Ping Zhong
Multim. Tools Appl., 2019

A Novel Feature Selection Model for JPEG Image Steganalysis.
[BibTeX]
[DOI]
Liran Yang
,
Jing Zhong
,
Ping Zhong
,
Yiming Xue
,
Juan Wen
Proceedings of the Digital Forensics and Watermarking - 18th International Workshop, 2019


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