Tong-Ze Zhang

This paper proposes a novel lightweight plastic-memory framework specifically designed for few-shot incremental learning on graphs, featuring an innovative evolving micro-clustering structure that dynamically updates representations of class prototypes, sub-prototypes, and their interaction weights.

A fully auditable AI system can transform diabetes risk screening by ensuring guideline adherence and mitigating the risks of LLM hallucinations.

LLMs, when guided by chain-of-thought reasoning on clinical records, can significantly boost Alzheimer's diagnosis accuracy and interpretability, outperforming direct EHR fine-tuning.