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Liran Yang
Person information
- affiliation: China Agricultural University, Beijing, China
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2020 – today
- 2024
- [j14]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): 8856-8875 (2024) - [j13]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): 3081-3094 (2024) - [j12]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): 9122-9135 (2024) - 2023
- [j11]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: 110277 (2023) - 2022
- [j10]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: 146-166 (2022) - [j9]Liran Yang, Qinghua Zhou:
Transfer subspace learning joint low-rank representation and feature selection. Multim. Tools Appl. 81(27): 38353-38373 (2022) - 2021
- [j8]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): 159-191 (2021) - [j7]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: 107331 (2021) - [j6]Jing Zhong, Ping Zhong, Yimin Xu, Liran Yang:
Robust multiview feature selection via view weighted. Multim. Tools Appl. 80(1): 1503-1527 (2021) - [j5]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: 116052 (2021) - 2020
- [j4]Liran Yang, Ping Zhong:
Discriminative and informative joint distribution adaptation for unsupervised domain adaptation. Knowl. Based Syst. 207: 106394 (2020) - [j3]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): 3031-3047 (2020) - [j2]Liran Yang, Ping Zhong:
Robust adaptation regularization based on within-class scatter for domain adaptation. Neural Networks 124: 60-74 (2020)
2010 – 2019
- 2019
- [j1]Yiming Xue, Liran Yang, Juan Wen, Shaozhang Niu, Ping Zhong:
A subspace learning-based method for JPEG mismatched steganalysis. Multim. Tools Appl. 78(7): 8151-8166 (2019) - [c1]Liran Yang, Jing Zhong, Ping Zhong, Yiming Xue, Juan Wen:
A Novel Feature Selection Model for JPEG Image Steganalysis. IWDW 2019: 322-336
Coauthor Index
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