Min Xu

A semi-supervised learning framework improves medical image segmentation with limited labeled data.

P2M2-CDR enhances recommendations while protecting user privacy through advanced data techniques.

A new framework improves item suggestions by balancing social influence and user preferences.

A new method improves segmentation with minimal annotations in 3D medical images.

A new method enhances parameter estimation for linear regression amid non-standard error distributions.

ERAGent enhances retrieval-augmented generation for better AI interactions.

A new method to better analyze image content and transformations.

Exploring differential encoding and its impact on graph learning models.

This framework tests significant differences in community structures and interactions in networks.

This study improves transfer learning by optimizing learning rates for each layer.

A novel technique reduces manual work in segmenting CryoET images.

New techniques make RAG systems faster and more accurate in answering questions.

A new method enhances language models for reliable medical information.

KarSein improves CTR prediction accuracy and efficiency for online ads.

A new approach to enhance AI search engines for better user interaction.

TomoPicker simplifies finding particles in Cryo-ET images, reducing manual work significantly.

SGIA enhances image generation for improved accuracy in fine-grained classification.