Jiuxu Chen

Barrow Neurological Institute, Arizona State University

Papers

Total Citations

H-Index

About

Jiuxu Chen is a rising researcher at the intersection of artificial intelligence and human motion analysis, with a primary focus on surgical AI and video-based action understanding. Chen’s most impactful work, “Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review” (2025, 23 citations), provides a comprehensive overview of how AI algorithms are revolutionizing surgical practice by enabling precise tracking of hands and instruments—a critical step toward safer, more efficient operating rooms. This review has quickly become a key reference for researchers exploring computer vision in clinical settings. In parallel, Chen’s pioneering work on “Unsupervised Action Anticipation Through Action Cluster Prediction” (2025, 1 citation) tackles the challenging problem of predicting near-future human actions in video without labeled data, leveraging spatial-temporal dynamics for applications in robotics and surveillance. By bridging the gap between unsupervised learning and real-time action forecasting, Chen is advancing the frontier of autonomous systems that can proactively assist humans. With a growing citation footprint and a focus on translating AI into practical, life-saving technologies, Jiuxu Chen is a promising voice in the future of intelligent, human-aware computing.