Xingzhu Liang

Orcid: 0000-0002-8674-7302

According to our database1, Xingzhu Liang authored at least 19 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
MLGT: multi-local guided tracker for visual object tracking.
J. Real Time Image Process., April, 2024

2023
ACKSNet: adaptive center keypoint selection for object detection.
Vis. Comput., December, 2023

FEFR: Feature early fusion and reconstruction for online knowledge distillation.
J. Intell. Fuzzy Syst., December, 2023

Trained teacher: Who is good at teaching.
Displays, December, 2023

Complete joint global and local collaborative marginal fisher analysis.
Appl. Intell., May, 2023

Layer-fusion for online mutual knowledge distillation.
Multim. Syst., April, 2023

SiamLight: lightweight networks for object tracking via attention mechanisms and pixel-level cross-correlation.
J. Real Time Image Process., April, 2023

Coupled locality discriminant analysis with globality preserving for dimensionality reduction.
Appl. Intell., March, 2023

YOLOD: A Task Decoupled Network Based on YOLOv5.
IEEE Trans. Consumer Electron., 2023

Parameter-free marginal fisher analysis based on L<sub>2,1</sub>-norm regularisation for face recognition.
Int. J. Comput. Sci. Eng., 2023

2022
Smarter peer learning for online knowledge distillation.
Multim. Syst., 2022

2021
Generating adversarial examples without specifying a target model.
PeerJ Comput. Sci., 2021

A Dynamic Discriminative Canonical Correlation Analysis via Adaptive Weight Scheme.
IEEE Access, 2021

2020
An image fusion dehazing algorithm based on dark channel prior and retinex.
Int. J. Comput. Sci. Eng., 2020

2018
Enhanced Parameter-Free Diversity Discriminant Preserving Projections for Face Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2018

2016
Maximal Margin Local Preserving Median Fisher Discriminant Analysis for Face Recognition.
J. Softw., 2016

Uncorrelated enhanced diversity fisher discriminant analysis for face recognition.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

2013
Kernel semi-supervised marginal fisher analysis and its application to face recognition.
Proceedings of the Ninth International Conference on Natural Computation, 2013

Kernel Optimal Unsupervised Discriminant Projection and Its Application to Face Recognition.
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications, 2013


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