Ling Huang

Semantic features derived from Visual Question Answering can dramatically enhance the robustness of cancer prognosis models across diverse clinical settings.

Overconfident predictions plague mental health prediction models, but this new framework leverages evidential learning to provide more trustworthy uncertainty estimates and human-understandable reasoning signals.