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Yupeng Ma

2 accepted papers

2026

When Vision-Language Models Meet Fetal Cardiac Ultrasound: Dual-Level Contrastive Learning for Out-of-Distribution Detection

IJCAI 2026

Recent advances in vision-language models (VLMs) have shown remarkable performance in medical image classification tasks. However, applying VLMs to fetal cardiac ultrasound (FCU) remains challenging due to compound distribution shifts, including covariate shifts caused by cross-center heterogeneity

Cited by 0Scholar
2025

GraphVCM: Virtual Center Mixing with Distance-Aware Regulation for Class Imbalanced Node Classification

ICASSP 2025accepted

Class imbalance is a prevalent issue in real-world graph-structure data, such as social and citation networks, posing significant challenges for Graph Neural Networks (GNNs). Existing solutions often focus on balancing class distributions via oversampling techniques, which may lead to overfitting an…

Cited by 0SourceScholar