3 papers
cs.CV2025
Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
Shuo Tong, Shangde Gao, Ke Liu +4
Automatic disease image grading is a significant application of artificial intelligence for healthcare, enabling faster and more accurate patient assessments. However, domain shift…
cs.IR2025
Matrix Factorization with Dynamic Multi-view Clustering for Recommender System
Shangde Gao, Ke Liu, Yichao Fu +2
Matrix factorization (MF), a cornerstone of recommender systems, decomposes user-item interaction matrices into latent representations. Traditional MF approaches, however, employ a…
cs.CV2024
KAER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation
Shangde Gao, Yichao Fu, Ke Liu +2
Recently, many foundation models for medical image analysis such as MedSAM, SwinUNETR have been released and proven to be useful in multiple tasks. However, considering the inheren…