Victor S. Sheng

QA-MoE: Quality-Aware and Stable Multimodal Mixture-of-Experts for Robust Clinical Prediction in Noisy and Missing-Modal Settings

Evaluations on clinical benchmarks demonstrate that QA-MoE outperforms strong multimodal baselines, improving reliability while cutting down unnecessary computation, indicating that QA-MoE offers a robust solution for multimodal decision support, especially in clinical settings prone to noise and missing data.