Xingzhu Liang

According to our database, Xingzhu Liang authored at least 27 papers between 2013 and 2025.

Collaborative distances:

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

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

2024

ATMKD: adaptive temperature guided multi-teacher knowledge distillation.

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

Multim. Syst., October, 2024

EDFIDepth: enriched multi-path vision transformer feature interaction networks for monocular depth estimation.

Chenxing Xia, Mengge Zhang, Xiuju Gao, Bin Ge, Kuan-Ching Li, Xianjin Fang, Yan Zhang, Xingzhu Liang

J. Supercomput., September, 2024

Boundary enhancement and refinement network for camouflaged object detection.

Chenxing Xia, Huizhen Cao, Xiuju Gao, Bin Ge, Kuan-Ching Li, Xianjin Fang, Yan Zhang, Xingzhu Liang

Mach. Vis. Appl., September, 2024

DFEF: Diversify feature enhancement and fusion for online knowledge distillation.

Xingzhu Liang, Jian Zhang, Erhu Liu, Xianjin Fang

Expert Syst. J. Knowl. Eng., September, 2024

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

Yue 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

MLGT: multi-local guided tracker for visual object tracking.

Xingzhu Liang, Miaomiao Chen, Erhu Liu

J. Real Time Image Process., April, 2024

RCFNet: Related cross-level feature network with cascaded self-distillation for monocular depth estimation.

Chenxing Xia, Mengge Zhang, Xiuju Gao, Bin Ge, Kuan-Ching Li, Xianjin Fang, Xingzhu Liang, Yan Zhang

Digit. Signal Process., 2024

2023

ACKSNet: adaptive center keypoint selection for object detection.

Xingzhu Liang, Lixin Wang, Wei Cheng, Xinyun Yan, Qing Chen

Vis. Comput., December, 2023

FEFR: Feature early fusion and reconstruction for online knowledge distillation.

Xingzhu Liang, Wen Liu, Feilong Bi, Xinyun Yan, Chunjiong Zhang

J. Intell. Fuzzy Syst., December, 2023

Trained teacher: Who is good at teaching.

Xingzhu Liang, Feilong Bi, Wen Liu, Xinyun Yan, Chunjiong Zhang, Chenxing Xia

Displays, December, 2023

Complete joint global and local collaborative marginal fisher analysis.

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

Appl. Intell., May, 2023

Layer-fusion for online mutual knowledge distillation.

Gan Hu, Yanli Ji, Xingzhu Liang, Yuexing Han

Multim. Syst., April, 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

Coupled locality discriminant analysis with globality preserving for dimensionality reduction.

Shuzhi Su, Gang Zhu, Yanmin Zhu, Bin Ge, Xingzhu Liang

Appl. Intell., March, 2023

YOLOD: A Task Decoupled Network Based on YOLOv5.

Xingzhu Liang, Wei Cheng, Chunjiong Zhang, Lixin Wang, Xinyun Yan, Qing Chen

IEEE Trans. Consumer Electron., 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

2021

Generating adversarial examples without specifying a target model.

Gaoming Yang, Mingwei Li, Xianjing Fang, Ji Zhang, Xingzhu Liang

PeerJ Comput. Sci., 2021

A Dynamic Discriminative Canonical Correlation Analysis via Adaptive Weight Scheme.

Shuzhi Su, Penglian Gao, Yanmin Zhu, Xingzhu Liang, Jun Xie

IEEE Access, 2021

2020

An image fusion dehazing algorithm based on dark channel prior and retinex.

Zhongliang Wei, Guangli Zhu, Xingzhu Liang, Wenjuan Liu

Int. J. Comput. Sci. Eng., 2020

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

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