LAUSR

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning.

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2 Published in 2023 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btad342

Abstract: Abstract Motivation Single-cell RNA sequencing enables researchers to study cellular heterogeneity at single-cell level. To this end, identifying cell types of cells with clustering techniques becomes an important task for downstream analysis. However, challenges of… read more here.

Keywords: seq data; cell; prototypical contrastive; single cell ... See more keywords

Few-Shot Learning-Based Fault Diagnosis Using Prototypical Contrastive-Based Domain Adaptation Under Variable Working Conditions

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0 Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3411823

Abstract: Unsupervised domain adaptation (UDA) methods have found broad application in fault diagnosis under variable working conditions. However, the performance of these models significantly deteriorates when the samples in the source and target working conditions are… read more here.

Keywords: prototypical contrastive; domain adaptation; working conditions; fault diagnosis ... See more keywords

Hardness-Aware Prototypical Contrastive Learning for Hyperspectral Coastal Wetlands Classification

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0 Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2025.3569763

Abstract: Self-supervised contrastive learning performs well in representing hyperspectral data under limited labels. However, the heterogeneity poses challenges in balancing a fixed temperature to prevent model collapse with accurately identifying hard negatives. In this letter, we… read more here.

Keywords: aware prototypical; prototypical contrastive; hyperspectral coastal; contrastive learning ... See more keywords

Dynamic Weight-Optimized Prototypical Contrastive Network for Cross-Domain Few-Shot Bearing Fault Diagnosis

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0 Published in 2025 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2025.3589234

Abstract: Due to the limited sample size caused by preventive maintenance and the variable data distribution caused by environmental factors, the performance of well-trained laboratory models has decreased significantly when confronted with actual industrial bearing fault… read more here.

Keywords: distribution; cross domain; prototypical contrastive; cross ... See more keywords