Yan Sun

FedInit improves device collaboration in federated learning by addressing client drift.

New methods improve event detection in streaming videos using language and historical data.

Mosquito resistance to insecticides threatens disease control efforts.

FedLADA improves model training speed and accuracy while ensuring data privacy.

An overview of how supernova remnants impact molecular clouds and star formation.

This research reveals key characteristics of molecular clouds in the Milky Way.

Research reveals how exciton dynamics enhance energy conversion in organic materials.

This study examines gas inflows towards the Central Molecular Zone in the Milky Way.

Explore federated learning's approach to privacy in machine learning.

This study reveals the dynamics of star formation in the Canis Major region.

Researchers improve millimeter-wave VLBI methods for better astronomical insights.

Recent studies challenge the predicted magnetic properties of RuO, suggesting new research directions.

A-FedPD aligns model updates to reduce training instability in federated learning.

Researchers unveil new structures in the Milky Way's spiral arms using advanced techniques.

A look into how pooling methods affect BERT and GPT in sentiment analysis.

FWA improves machine learning speed and generalization through careful weight averaging.

Discover how FGATT tackles missing data in wireless networks.