5 papers
ARMD-Predict: multi-site machine learning to predict antibiotic resistance before culture results
Fateme Nateghi Haredasht, Nicholas P. Marshall, Wenyuan Chen +17
Clinicians select empiric antibiotics before culture susceptibility results are available. Electronic health record (EHR) models could inform that choice, but most are developed at…
H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model
Jinbang Huang, Wenyuan Chen, Zhiyuan Li +9
World models are becoming central to robotic planning and control by predicting future state transitions. Existing approaches mainly rely on visual, latent, or language prediction,…
Automated Penetration Testing with LLM Agents and Classical Planning
Lingzhi Wang, Xinyi Shi, Ziyu Li +8
While penetration testing plays a vital role in cybersecurity, achieving fully automated, hands-off-the-keyboard execution remains a significant research challenge. In this paper,…
Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale Evaluation
Wenyuan Chen, Fateme Nateghi Haredasht, Kameron C. Black +4
Asynchronous patient-clinician messaging via EHR portals is a growing source of clinician workload, prompting interest in large language models (LLMs) to assist with draft response…
Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Process
Sophia Sun, Wenyuan Chen, Zihao Zhou +3
Mechanical Circulatory Support (MCS) devices, implemented as a probabilistic deep sequence model. Existing mechanical simulators for MCS rely on oversimplifying assumptions and are…