Reconsideration on evaluation of machine learning models in continuous monitoring using wearables. - Cheng Ding; Zhicheng Guo; Cynthia Rudin; Ran Xiao; Fadi B. Nahab; Xiao Hu 002 (CoRR, 2023)

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals. - Runze Yan; Cheng Ding; Ran Xiao; Alex Fedorov; Randall J. Lee; Fadi B. Nahab; Xiao Hu 002 (CHIL, 2024)

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking. - Yuzhang Xie; Jiaying Lu 001; Joyce C. Ho; Fadi B. Nahab; Xiao Hu 002; Carl Yang 001 (SIGIR, 2024)

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals. - Runze Yan; Cheng Ding; Ran Xiao; Aleksandr Fedorov; Randall J. Lee; Fadi B. Nahab; Xiao Hu 002 (CoRR, 2024)

Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms. - Cheng Ding; Zhicheng Guo; Cynthia Rudin; Ran Xiao; Amit J. Shah; Duc H. Do; Randall J. Lee; Gari D. Clifford; Fadi B. Nahab; Xiao Hu 002 (IEEE J. Biomed. Health Informatics, 2024)

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs. - Yuzhang Xie; Hejie Cui; Ziyang Zhang; Jiaying Lu 001; Kai Shu; Fadi B. Nahab; Xiao-Hu Zhou; Carl Yang 001 (CoRR, 2025)