Yuquan Li — accepted AI-conference papers

2026

Joint Adaptation of Uni-modal Foundation Models for Multi-modal Alzheimer's Disease Diagnosis

Wentao Gu, Yuquan Li, XINYANG JIANG, Zilong Wang, Dongsheng Li, Zehui Li +2

ICLR 2026poster

Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder and a leading cause of dementia worldwide. Accurate diagnosis requires integrating diverse patient data modalities. With the rapid advancement of foundation models in neurobiology and medicine, integrating foundation models from va…

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2026

Language-Driven Multi-Task Manipulation With Action-Mask-Enhanced Multimodal Learning

Ningquan Gu, Yuquan Li, Kazuhiro Kosuge, Mitsuhiro Hayashibe

RA-L 2026

For long-horizon multi-task robotic manipulation, hierarchical approaches provide an effective way to combine high-level language-based task planning with low-level vision-language based sub-task execution. Then, we propose a framework that integrates a two-stage task planner with a multimodal low-l

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