2 papers
cs.CV2025
CMIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis
Min Cen, Zhenfeng Zhuang, Yuzhe Zhang +5
Graph-based Multiple Instance Learning (MIL) is widely used in survival analysis with Hematoxylin and Eosin (H\&E)-stained whole slide images (WSIs) due to its ability to capture t…
cs.CL2025
Constraint Multi-class Positive and Unlabeled Learning for Distantly Supervised Named Entity Recognition
Yuzhe Zhang, Min Cen, Hong Zhang
Distantly supervised named entity recognition (DS-NER) has been proposed to exploit the automatically labeled training data by external knowledge bases instead of human annotations…