3 papers
cs.LG2026
DISCERN: Identifiable Disease Evidence for Generalizable Medical Multimodal Learning
Xiaoguang Zhu, Pengyi Jiang, Juncen Guo +3
Clinical multimodal models can learn enrollment shortcuts shared across modalities and fail on new cohorts. We model these data through a latent structural causal model: disease st…
cs.AI2026
Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent Systems
Pengyi Jiang, Xiaoguang Zhu, Quanyan Zhu
Contribution attribution has become a central problem in LLM-based multi-agent systems, where final outputs are produced through multiple agents, message exchanges, and ordered wor…
cs.LG2025
Causal Debiasing Medical Multimodal Representation Learning with Missing Modalities
Xiaoguang Zhu, Lianlong Sun, Yang Liu +4
Medical multimodal representation learning aims to integrate heterogeneous clinical data into unified patient representations to support predictive modeling, which remains an essen…