Liran Yang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Subspace Learning

Domain Adaptation

Maximum Margin Criterion

Top Venues

Multim. Tools Appl.

Knowl. Based Syst.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Liran Yang, Bin Lu, Qinghua Zhou, Pan Su
Unsupervised domain adaptation via feature transfer learning based on elastic embedding. Int. J. Mach. Learn. Cybern. 15 (8) (2024)
Liran Yang, Qinghua Zhou, Bin Lu
Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Yang Qu, Liran Yang, Ping Zhong, Qiuyue Li
OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation. Appl. Intell. 54 (19) (2024)
Liran Yang, Bin Lu, Qinghua Zhou, Pan Su
Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity. Knowl. Based Syst. 263 (2023)
Qiang Lin, Min Men, Liran Yang, Ping Zhong
A supervised multi-view feature selection method based on locally sparse regularization and block computing. Inf. Sci. 582 (2022)
Liran Yang, Qinghua Zhou
Transfer subspace learning joint low-rank representation and feature selection. Multim. Tools Appl. 81 (27) (2022)
Qiang Lin, Liran Yang, Ping Zhong, Hui Zou
Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion. Knowl. Based Syst. 229 (2021)
Liran Yang, Min Men, Yiming Xue, Juan Wen, Ping Zhong
Transfer subspace learning based on structure preservation for JPEG image mismatched steganalysis. Signal Process. Image Commun. 90 (2021)
Jing Zhong, Ping Zhong, Yimin Xu, Liran Yang
Robust multiview feature selection via view weighted. Multim. Tools Appl. 80 (1) (2021)
Huimin Pei, Qiang Lin, Liran Yang, Ping Zhong
A novel semi-supervised support vector machine with asymmetric squared loss. Adv. Data Anal. Classif. 15 (1) (2021)
Liran Yang, Ping Zhong
Robust adaptation regularization based on within-class scatter for domain adaptation. Neural Networks 124 (2020)
Liran Yang, Min Men, Yiming Xue, Ping Zhong
Low-rank representation-based regularized subspace learning method for unsupervised domain adaptation. Multim. Tools Appl. 79 (3-4) (2020)
Liran Yang, Ping Zhong
Discriminative and informative joint distribution adaptation for unsupervised domain adaptation. Knowl. Based Syst. 207 (2020)
Yiming Xue, Liran Yang, Juan Wen, Shaozhang Niu, Ping Zhong
A subspace learning-based method for JPEG mismatched steganalysis. Multim. Tools Appl. 78 (7) (2019)
Liran Yang, Jing Zhong, Ping Zhong, Yiming Xue, Juan Wen
A Novel Feature Selection Model for JPEG Image Steganalysis. IWDW (2019)