Xingzhu Liang

Orcid: 0000-0002-8674-7302

According to our database¹, Xingzhu Liang authored at least 37 papers between 2013 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

MSSMamba: hybrid multi-scale spatial-state mamba with frequency-adaptive boundary refinement for medical image segmentation.

[BibT_eX]

[DOI]

Xingzhu Liang

Guoao Ge

Pattern Anal. Appl., March, 2026

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

[BibT_eX]

[DOI]

Appl. Intell., January, 2026

TIKD: Where text meets vision for knowledge distillation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2026

NexMamba: Nexus-driven multi-domain Mamba network for medical image segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2026

2025

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

[BibT_eX]

[DOI]

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

Multi-granularity enhanced feature learning for visible-infrared person re-identification.

[BibT_eX]

[DOI]

J. Supercomput., January, 2025

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

[BibT_eX]

[DOI]

J. Supercomput., January, 2025

FMIF: facial multi-feature information fusion for driver fatigue detection.

[BibT_eX]

[DOI]

Signal Image Video Process., January, 2025

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

GRdepth: Enrich feature with global information and self-iterative regulation network for monocular depth estimation.

[BibT_eX]

[DOI]

Digit. Signal Process., 2025

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

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2025

2024

ATMKD: adaptive temperature guided multi-teacher knowledge distillation.

[BibT_eX]

[DOI]

Multim. Syst., October, 2024

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

[BibT_eX]

[DOI]

J. Supercomput., September, 2024

Boundary enhancement and refinement network for camouflaged object detection.

[BibT_eX]

[DOI]

Mach. Vis. Appl., September, 2024

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

J. Supercomput., July, 2024

AAR:Attention Remodulation for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

J. Supercomput., May, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Digit. Signal Process., 2024

2023

ACKSNet: adaptive center keypoint selection for object detection.

[BibT_eX]

[DOI]

Vis. Comput., December, 2023

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

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., December, 2023

Trained teacher: Who is good at teaching.

[BibT_eX]

[DOI]

Displays, December, 2023

Complete joint global and local collaborative marginal fisher analysis.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

Layer-fusion for online mutual knowledge distillation.

[BibT_eX]

[DOI]

Multim. Syst., April, 2023

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

[BibT_eX]

[DOI]

J. Real Time Image Process., April, 2023

Coupled locality discriminant analysis with globality preserving for dimensionality reduction.

[BibT_eX]

[DOI]

Appl. Intell., March, 2023

YOLOD: A Task Decoupled Network Based on YOLOv5.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., 2023

Parameter-free marginal fisher analysis based on L<sub>2,1</sub>-norm regularisation for face recognition.

[BibT_eX]

[DOI]

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

2022

Smarter peer learning for online knowledge distillation.

[BibT_eX]

[DOI]

Multim. Syst., 2022

2021

Generating adversarial examples without specifying a target model.

[BibT_eX]

[DOI]

PeerJ Comput. Sci., 2021

A Dynamic Discriminative Canonical Correlation Analysis via Adaptive Weight Scheme.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

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

[BibT_eX]

[DOI]

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

2018

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

[BibT_eX]

[DOI]

Xingzhu Liang

Yu-e Lin

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

2016

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

[BibT_eX]

[DOI]

Xingzhu Liang

Yu-e Lin

J. Softw., 2016

Uncorrelated enhanced diversity fisher discriminant analysis for face recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xingzhu Liang

Yu-e Lin

Jingzhao Li

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

Xingzhu Liang

Timeline

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Bibliography

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