Xuesong Yin

Orcid: 0000-0001-8455-0840

According to our database1, Xuesong Yin authored at least 30 papers between 2004 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Self-supervised deep subspace clustering with entropy-norm.
Clust. Comput., April, 2024

2023
Optimization of multipath cold-chain logistics network.
Soft Comput., December, 2023

Window Token Transformer: Can learnable window token help window-based transformer build better long-range interactions?
Neurocomputing, November, 2023

Structure-Aware Subspace Clustering.
IEEE Trans. Knowl. Data Eng., October, 2023

Health diagnosis and recuperation of aged Li-ion batteries with data analytics and equivalent circuit modeling.
CoRR, 2023

Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification.
CoRR, 2023

Star-Net: Improving Single Image Desnowing Model With More Efficient Connection and Diverse Feature Interaction.
CoRR, 2023

POSTER V2: A simpler and stronger facial expression recognition network.
CoRR, 2023

2022
Masked autoencoders are effective solution to transformer data-hungry.
CoRR, 2022

More comprehensive facial inversion for more effective expression recognition.
CoRR, 2022

Token Transformer: Can class token help window-based transformer build better long-range interactions?
CoRR, 2022

Self-Supervised Deep Subspace Clustering with Entropy-norm.
CoRR, 2022

Improvements to Self-Supervised Representation Learning for Masked Image Modeling.
CoRR, 2022

Pseudo-labeling generative adversarial networks for medical image classification.
Comput. Biol. Medicine, 2022

Robust Graph Regularized Nonnegative Matrix Factorization.
IEEE Access, 2022

2021
Weakly-supervised Generative Adversarial Networks for medical image classification.
CoRR, 2021

Robust Structured Convex Nonnegative Matrix Factorization for Data Representation.
IEEE Access, 2021

2020
Robust nonnegative matrix factorization with structure regularization.
Neurocomputing, 2020

2014
Construction Mechanism of Digital Lifelong Learning Platform.
J. Softw., 2014

2013
Regularized soft K-means for discriminant analysis.
Neurocomputing, 2013

2012
Semi-supervised fuzzy clustering with metric learning and entropy regularization.
Knowl. Based Syst., 2012

2011
Distance metric learning guided adaptive subspace semi-supervised clustering.
Frontiers Comput. Sci. China, 2011

The Problem of Adult Animation Education in Teaching Quality and Corresponding Solutions.
Proceedings of the Frontiers in Computer Education [International Conference on Frontiers in Computer Education, 2011

Multiple view semi-supervised discriminant analysis.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Semisupervised Kernel Matrix Learning by Kernel Propagation.
IEEE Trans. Neural Networks, 2010

Semi-supervised clustering with metric learning: An adaptive kernel method.
Pattern Recognit., 2010

SSPS: A Semi-Supervised Pattern Shift for Classification.
Neural Process. Lett., 2010

Manifold contraction for semi-supervised classification.
Sci. China Inf. Sci., 2010

Semi-supervised Transductive Discriminant Analysis.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

2004
Segmentation-Based Interpolation of 3D Medical Images.
Proceedings of the Computational Science and Its Applications, 2004


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