Max Robotics — Global Service Robot Directory + US Certification

About

Xueying Shi is a leading researcher at the intersection of computer vision and surgical robotics, with a primary focus on automated surgical workflow and gesture recognition. Her work addresses critical challenges in developing intelligent systems for computer-assisted and robotic-assisted surgery. Shi’s major contributions include pioneering the use of long-range temporal dependencies for active learning in surgical workflow recognition, as detailed in her highly cited 2020 paper (33 citations), which significantly improves the analysis of surgical videos. She has also advanced domain adaptation techniques for robotic gesture recognition, introducing unsupervised kinematic-visual data alignment to overcome performance degradation caused by domain gaps between simulators and real surgical environments (2021, 4 citations). Her research is essential for enabling more robust and generalizable AI systems in surgery, directly impacting the development of autonomous and semi-autonomous surgical tools. With a growing citation record and a focus on solving real-world deployment challenges, Shi is establishing herself as a key innovator in surgical data science and human-robot interaction.