12 papers
Locally Deployable Small Language Models for Emergency Department Decision Support: A Systematic Benchmark of Fine-Tuning Strategies
Qingfeng Zhang, Yuanxiong Guo, Yanmin Gong
Deploying large language models (LLMs) for decision support in emergency departments (EDs) faces two major challenges: privacy risks of transmitting patient data to closed-source c…
Unifying Acoustic Features and Text with Multimodal LLMs for Neurodegenerative Screening
Qingfeng Zhang, Yuanxiong Guo, Yanmin Gong
Voice-based screening offers a scalable and non-invasive way to assess neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD), but their staging r…
LLM-Powered Personalized Glycemic Assessment in Type 2 Diabetes with Wearable Sensor Data
Yifan Gao, Yanmin Gong, Yun Shi +1
Type 2 Diabetes (T2D) poses an increasing global health threat, demanding effective glycemic assessment to support personalized and improved diabetes care. Wearable sensors such as…
FedKRSO: Communication and Memory Efficient Federated Fine-Tuning of Large Language Models
Guohao Yang, Tongle Wu, Yuanxiong Guo +2
Fine-tuning is essential to adapt general-purpose large language models (LLMs) to domain-specific tasks. As a privacy-preserving framework to leverage decentralized data for collab…
Efficient Entanglement Routing for Satellite-Aerial-Terrestrial Quantum Networks
Yu Zhang, Yanmin Gong, Lei Fan +3
In the era of 6G and beyond, space-aerial-terrestrial quantum networks (SATQNs) are shaping the future of the global-scale quantum Internet. This paper investigates the collaborati…
Quantum-Assisted Online Task Offloading and Resource Allocation in MEC-Enabled Satellite-Aerial-Terrestrial Integrated Networks
Yu Zhang, Yanmin Gong, Lei Fan +3
In the era of Internet of Things (IoT), multi-access edge computing (MEC)-enabled satellite-aerial-terrestrial integrated network (SATIN) has emerged as a promising technology to p…