Liran Yang

17 papers C 1Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Single domain generalization crowd counting via hybrid space fusion and contrastive disentanglement learning.
Appl. Soft Comput.
Yang Qu, Tianyi Liao, Zhiruo Qiu, Liran Yang, Ping Zhong, Yingyi Chen, Zhencai Shen
2025 J jnl
PaeNet: parallel attention enhancement network for ophthalmic image segmentation.
Int. J. Mach. Learn. Cybern.
Honglin Shang, Pan Su, Liran Yang, Chunkai Qi, Huawei Mei, Tianhua Chen, Yitian Zhao
2024 J jnl
Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Liran Yang, Qinghua Zhou, Bin Lu
2024 J jnl
OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation.
Appl. Intell.
Yang Qu, Liran Yang, Ping Zhong, Qiuyue Li
2024 J jnl
Unsupervised domain adaptation via feature transfer learning based on elastic embedding.
Int. J. Mach. Learn. Cybern.
Liran Yang, Bin Lu, Qinghua Zhou, Pan Su
2023 J jnl
Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity.
Knowl. Based Syst.
Liran Yang, Bin Lu, Qinghua Zhou, Pan Su
2022 J jnl
A supervised multi-view feature selection method based on locally sparse regularization and block computing.
Inf. Sci.
Qiang Lin, Min Men, Liran Yang, Ping Zhong
2022 J jnl
Transfer subspace learning joint low-rank representation and feature selection.
Multim. Tools Appl.
Liran Yang, Qinghua Zhou
2021 J jnl
A novel semi-supervised support vector machine with asymmetric squared loss.
Adv. Data Anal. Classif.
Huimin Pei, Qiang Lin, Liran Yang, Ping Zhong
2021 J jnl
Robust multiview feature selection via view weighted.
Multim. Tools Appl.
Jing Zhong, Ping Zhong, Yimin Xu, Liran Yang
2021 J jnl
Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion.
Knowl. Based Syst.
Qiang Lin, Liran Yang, Ping Zhong, Hui Zou
2021 J jnl
Transfer subspace learning based on structure preservation for JPEG image mismatched steganalysis.
Signal Process. Image Commun.
Liran Yang, Min Men, Yiming Xue, Juan Wen, Ping Zhong
2020 J jnl
Discriminative and informative joint distribution adaptation for unsupervised domain adaptation.
Knowl. Based Syst.
Liran Yang, Ping Zhong
2020 J jnl
Low-rank representation-based regularized subspace learning method for unsupervised domain adaptation.
Multim. Tools Appl.
Liran Yang, Min Men, Yiming Xue, Ping Zhong
2020 J jnl
Robust adaptation regularization based on within-class scatter for domain adaptation.
Neural Networks
Liran Yang, Ping Zhong
2019 C conf
A Novel Feature Selection Model for JPEG Image Steganalysis.
IWDW
Liran Yang, Jing Zhong, Ping Zhong, Yiming Xue, Juan Wen
2019 J jnl
A subspace learning-based method for JPEG mismatched steganalysis.
Multim. Tools Appl.
Yiming Xue, Liran Yang, Juan Wen, Shaozhang Niu, Ping Zhong