Liran Yang

According to our database, Liran Yang authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Single domain generalization crowd counting via hybrid space fusion and contrastive disentanglement learning.

Yang Qu, Tianyi Liao, Zhiruo Qiu, Liran Yang, Ping Zhong, Yingyi Chen, Zhencai Shen

Appl. Soft Comput., 2026

2025

PaeNet: parallel attention enhancement network for ophthalmic image segmentation.

Honglin Shang, Pan Su, Liran Yang, Chunkai Qi, Huawei Mei, Tianhua Chen, Yitian Zhao

Int. J. Mach. Learn. Cybern., December, 2025

Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions.

Hansheng Wang, Binru Zhao, Zehao Xu, Huichi Zhou, Liran Yang, Weifeng Xu, Jianyong Zhu, Hongtao Wang

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

2024

OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation.

Yang Qu, Liran Yang, Ping Zhong, Qiuyue Li

Appl. Intell., October, 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., August, 2024

Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation.

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.

Liran Yang, Bin Lu, Qinghua Zhou, Pan Su

Knowl. Based Syst., March, 2023

2022

Transfer subspace learning joint low-rank representation and feature selection.

Liran Yang, Qinghua Zhou

Multim. Tools Appl., November, 2022

A supervised multi-view feature selection method based on locally sparse regularization and block computing.

Qiang Lin, Min Men, Liran Yang, Ping Zhong

Inf. Sci., 2022

2021

Transfer subspace learning based on structure preservation for JPEG image mismatched steganalysis.

Liran Yang, Min Men, Yiming Xue, Juan Wen, Ping Zhong

Signal Process. Image Commun., 2021

Robust multiview feature selection via view weighted.

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.

Qiang Lin, Liran Yang, Ping Zhong, Hui Zou

Knowl. Based Syst., 2021

A novel semi-supervised support vector machine with asymmetric squared loss.

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.

Liran Yang, Ping Zhong

Neural Networks, 2020

Low-rank representation-based regularized subspace learning method for unsupervised domain adaptation.

Liran Yang, Min Men, Yiming Xue, Ping Zhong

Multim. Tools Appl., 2020

Discriminative and informative joint distribution adaptation for unsupervised domain adaptation.

Liran Yang, Ping Zhong

Knowl. Based Syst., 2020

2019

A subspace learning-based method for JPEG mismatched steganalysis.

Yiming Xue, Liran Yang, Juan Wen, Shaozhang Niu, Ping Zhong

Multim. Tools Appl., 2019

A Novel Feature Selection Model for JPEG Image Steganalysis.

Liran Yang, Jing Zhong, Ping Zhong, Yiming Xue, Juan Wen

Proceedings of the Digital Forensics and Watermarking - 18th International Workshop, 2019