5 papers
Beyond One-shot: AI Agents for Learning in Field Experiments
Junjie Luo, Ritu Agarwal, Gordon Gao
Organizations routinely run experiments for A/B testing, yet the data generated from one experiment is underutilized to inform subsequent intervention design. Significant barriers…
Group-Sensitive Offline Contextual Bandits
Yihong Guo, Junjie Luo, Guodong Gao +2
Offline contextual bandits allow one to learn policies from historical/offline data without requiring online interaction. However, offline policy optimization that maximizes overal…
Mapping Patient-Perceived Physician Traits from Nationwide Online Reviews with LLMs
Junjie Luo, Rui Han, Arshana Welivita +5
Understanding how patients perceive their physicians is essential to improving trust, communication, and satisfaction. Patients increasingly consult large language models (LLMs) to…
PAME-AI: Patient Messaging Creation and Optimization using Agentic AI
Junjie Luo, Yihong Guo, Anqi Liu +2
Messaging patients is a critical part of healthcare communication, helping to improve things like medication adherence and healthy behaviors. However, traditional mobile message de…
A Large Sensor Foundation Model Pretrained on Continuous Glucose Monitor Data for Diabetes Management
Junjie Luo, Abhimanyu Kumbara, Mansur Shomali +4
Continuous glucose monitoring (CGM) combined with AI offers new opportunities for proactive diabetes management through real-time glucose forecasting. However, most existing models…