1 citations · 1 across the 3 of their papers we have counts for
4 papers
Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction
Jun Hou, Yi Fang, Xuan Wang
Large Language Models (LLMs) are increasingly applied to clinical prediction tasks such as in-hospital mortality and readmission from electronic health records (EHRs). Privacy and…
Distributed Resource Allocation for Human-Autonomy Teaming under Coupled Constraints
Yichen Yao, Ryan Mbagna Nanko, Yue Wang +1
This paper studies the optimal resource allocation problem within a multi-agent network composed of both autonomous agents and humans. The main challenge lies in the globally coupl…
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
Manar Aljohani, Jun Hou, Sindhura Kommu +1
The application of large language models (LLMs) in healthcare holds significant promise for enhancing clinical decision-making, medical research, and patient care. However, their i…
Gene Regulatory Network Inference from Pre-trained Single-Cell Transcriptomics Transformer with Joint Graph Learning
Sindhura Kommu, Yizhi Wang, Yue Wang +1
Inferring gene regulatory networks (GRNs) from single-cell RNA sequencing (scRNA-seq) data is a complex challenge that requires capturing the intricate relationships between genes…