Yu-e Lin

According to our database, Yu-e Lin authored at least 21 papers between 2008 and 2026.

Collaborative distances:

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

2026

SiamDMCF: a dynamic multi-order context fusion siamese network for robust visual tracking.

Yu-e Lin, Xingyuan Ge, Xingzhu Liang, Jinliang Zhang

Appl. Intell., January, 2026

TIKD: Where text meets vision for knowledge distillation.

Xingzhu Liang, Chun Yin, Mengyuan Li, Yu-e Lin

Expert Syst. Appl., 2026

2025

SiamATA: an asymmetric target-aware and frequency domain task-aware Siamese network for visual tracking.

Xingzhu Liang, Yunzhuang Xiao, Yu-e Lin, Xinyun Yan

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

Federated split learning via dynamic aggregation and homomorphic encryption on non-IID data.

Xingzhu Liang, Yachen Xu, Yu-e Lin, Chunjiong Zhang

J. Supercomput., January, 2025

Multi-scale feature fusion with knowledge distillation for object detection in aerial imagery.

Mengyuan Li, Xingzhu Liang, Qicheng Hu, Yu-e Lin, Chenxing Xia

Eng. Appl. Artif. Intell., 2025

GACFNet: A global attention cross-level feature fusion network for aerial image object detection.

Xingzhu Liang, Mengyuan Li, Yu-e Lin, Xianjin Fang

Comput. Electr. Eng., 2025

2024

ATMKD: adaptive temperature guided multi-teacher knowledge distillation.

Yu-e Lin, Shuting Yin, Yifeng Ding, Xingzhu Liang

Multim. Syst., October, 2024

Global-local Bi-alignment for purer unsupervised domain adaptation.

Yu-e Lin, Erhu Liu, Xingzhu Liang, Miaomiao Chen, Xinyun Yan

J. Supercomput., July, 2024

AAR:Attention Remodulation for Weakly Supervised Semantic Segmentation.

Yu-e Lin, Houguo Li, Xingzhu Liang, Mengfan Li, Huilin Liu

J. Supercomput., May, 2024

2023

Complete joint global and local collaborative marginal fisher analysis.

Xingzhu Liang, Yu-e Lin, Shunxiang Zhang, Xianjin Fang

Appl. Intell., May, 2023

SiamLight: lightweight networks for object tracking via attention mechanisms and pixel-level cross-correlation.

Yu-e Lin, Mengfan Li, Xingzhu Liang, Chenxing Xia

J. Real Time Image Process., April, 2023

Parameter-free marginal fisher analysis based on L_2,1-norm regularisation for face recognition.

Yu-e Lin, Zhiyuan Ren, Xingzhu Liang, Shunxiang Zhang

Int. J. Comput. Sci. Eng., 2023

2022

Smarter peer learning for online knowledge distillation.

Yu-e Lin, Xingzhu Liang, Gan Hu, Xianjin Fang

Multim. Syst., 2022

2018

Enhanced Parameter-Free Diversity Discriminant Preserving Projections for Face Recognition.

Xingzhu Liang, Yu-e Lin

Int. J. Pattern Recognit. Artif. Intell., 2018

2016

Maximal Margin Local Preserving Median Fisher Discriminant Analysis for Face Recognition.

Xingzhu Liang, Yu-e Lin

J. Softw., 2016

Uncorrelated enhanced diversity fisher discriminant analysis for face recognition.

Xingzhu Liang, Yu-e Lin, Guangyu Xu

Proceedings of the 3rd International Conference on Systems and Informatics, 2016

An efficient restoration algorithm for images corrupted with salt and pepper noise.

Guangyu Xu, Yu-e Lin

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2013

Kernel semi-supervised marginal fisher analysis and its application to face recognition.

Yu-e Lin, Xingzhu Liang, Yurong Lin

Proceedings of the Ninth International Conference on Natural Computation, 2013

Kernel Optimal Unsupervised Discriminant Projection and Its Application to Face Recognition.

Xingzhu Liang, Yu-e Lin, Jingzhao Li

Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013

2008

Direct Orthogonal Discriminant Analysis.

Yu-e Lin, Guochang Gu, Haibo Liu, Jing Shen

Proceedings of the International Multisymposiums on Computer and Computational Sciences, 2008

Kernel Null Foley-Sammon Transform.

Yu-e Lin, Guochang Gu, Haibo Liu, Jing Shen

Proceedings of the International Conference on Computer Science and Software Engineering, 2008