Qianhui Men — accepted AI-conference papers

2025

Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models

Joshua Strong, Qianhui Men, J. Alison Noble

AAAI 2025technical

Large language models (LLMs) offer a valuable technology for various applications in healthcare. However, their tendency to hallucinate and the existing reliance on proprietary systems pose challenges in environments concerning critical decision-making and strict data privacy regulations, such as he…

Cited by 14 Source ↗PDF ↗code ↗Scholar ↗

2022

Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos

Tanqiu Qiao, Qianhui Men, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima, Hubert P. H. Shum

ECCV 2022poster

"Human-Object Interaction (HOI) recognition in videos is important for analyzing human activity. Most existing work focusing on visual features usually suffer from occlusion in the real-world scenarios. Such a problem will be further complicated when multiple people and objects are involved in HOIs.…

Cited by 18 Source ↗PDF ↗code ↗Scholar ↗