4 papers
Learning When to Collaborate: Selective Multi-Agent Medical Reasoning via Uncertainty-Aware Routing
Jiacheng Hou, Xueliang Cui, Dan Lu +1
Multi-agent systems have emerged as a promising paradigm for multimodal medical reasoning, but existing methods rely on two assumptions that hinder practical deployment: (i) always…
Local Causal Structure Learning in the Presence of Latent Variables and Selection Bias
Zheng Li, Hao Zhang, Ruxin Wang +3
Discovering the direct causes and effects of a target variable from observational data is a fundamental problem in causal discovery, with broad applications in domains such as gene…
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
Zheng Li, Feng Xie, Shenglan Nie +3
Constraint-based causal discovery is widely used for learning causal structures, but heavy reliance on conditional independence (CI) testing makes it computationally expensive in h…
Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
Shihuan He, Zhihui Lai, Ruxin Wang +1
Medical image segmentation is a crucial task in medical image analysis, but it can be very challenging especially when there are less labeled data but with large unlabeled data. Co…