A Novel Feature Selection Model for JPEG Image Steganalysis. - Liran Yang; Jing Zhong; Ping Zhong 003; Yiming Xue; Juan Wen (IWDW, 2019)

A subspace learning-based method for JPEG mismatched steganalysis. - Yiming Xue; Liran Yang; Juan Wen; Shaozhang Niu; Ping Zhong 003 (Multim. Tools Appl., 2019)

Discriminative and informative joint distribution adaptation for unsupervised domain adaptation. - Liran Yang; Ping Zhong 003 (Knowl. Based Syst., 2020)

Low-rank representation-based regularized subspace learning method for unsupervised domain adaptation. - Liran Yang; Min Men; Yiming Xue; Ping Zhong 003 (Multim. Tools Appl., 2020)

Robust adaptation regularization based on within-class scatter for domain adaptation. - Liran Yang; Ping Zhong 003 (Neural Networks, 2020)

A novel semi-supervised support vector machine with asymmetric squared loss. - Huimin Pei; Qiang Lin; Liran Yang; Ping Zhong 003 (Adv. Data Anal. Classif., 2021)

Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion. - Qiang Lin; Liran Yang; Ping Zhong 003; Hui Zou (Knowl. Based Syst., 2021)

Robust multiview feature selection via view weighted. - Jing Zhong; Ping Zhong 003; Yimin Xu; Liran Yang (Multim. Tools Appl., 2021)

Transfer subspace learning based on structure preservation for JPEG image mismatched steganalysis. - Liran Yang; Min Men; Yiming Xue; Juan Wen; Ping Zhong 003 (Signal Process. Image Commun., 2021)

A supervised multi-view feature selection method based on locally sparse regularization and block computing. - Qiang Lin; Min Men; Liran Yang; Ping Zhong 003 (Inf. Sci., 2022)

Transfer subspace learning joint low-rank representation and feature selection. - Liran Yang; Qinghua Zhou (Multim. Tools Appl., 2022)

Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity. - Liran Yang; Bin Lu; Qinghua Zhou; Pan Su (Knowl. Based Syst., 2023)

Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation. - Liran Yang; Qinghua Zhou; Bin Lu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unsupervised domain adaptation via feature transfer learning based on elastic embedding. - Liran Yang; Bin Lu; Qinghua Zhou; Pan Su (Int. J. Mach. Learn. Cybern., 2024)

OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation. - Yang Qu; Liran Yang; Ping Zhong 003; Qiuyue Li (Appl. Intell., 2024)