Jiayang Yu — accepted AI-conference papers

2026

RareDASH: A Dynamic Multi-Agent System for Holistic Rare Disease Care

Jialun Zhong, Jiayang Yu, Yanzeng Li, Meng Qin, Lei Zou, Yuqian Wang +4

IJCAI 2026

Rare diseases are characterized by low prevalence and intricate pathogenesis, leading to highly heterogeneous clinical trajectories. The care of rare disease presents formidable challenges due to the requirement for highly specialized expertise and experiences. Existing methods are typically tailore

Cited by 0 Scholar ↗

2025

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model

Jiayang Yu, Yihang Zhang, Bin Wang, Peiqin Lin, YongKang Liu, Shi Feng

NAACL 2025long

Fine-tuning is a key approach for adapting language models to specific downstream tasks, but updating all model parameters becomes impractical as model sizes increase.Parameter-Efficient Fine-Tuning (PEFT) methods, such as Low-Rank Adaptation (LoRA), address this challenge by introducing additional…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗