Yuanjun Jia

University of Science and Technology of China, China Academy of Information and Communications Technology

Papers

Total Citations

H-Index

About

Yuanjun Jia is a rising researcher at the intersection of surgical robotics and autonomous perception systems. Her work primarily spans two transformative domains: **autonomous laser-assisted surgery** and **multi-modal sensor fusion for 3D object detection**. In her most-cited paper, “Task Autonomy of a Flexible Endoscopic System for Laser-Assisted Surgery” (2022, 34 citations), Jia addresses a critical bottleneck in endoluminal procedures by introducing a novel workflow that automates laser beam steering. This breakthrough moves beyond the current manual operation of flexible instruments, enabling a new level of precision and autonomy in minimally invasive surgery. Complementing this, her work “BAFusion: Bidirectional Attention Fusion for 3D Object Detection Based on LiDAR and Camera” (2024, 11 citations) tackles a core challenge in autonomous driving. By proposing a bidirectional attention mechanism, Jia overcomes the limitations of traditional projection-based sensor alignment, achieving more robust and accurate 3D perception. Her contributions are notable for bridging the gap between robotic control and intelligent perception, demonstrating a rare ability to innovate across hardware-software boundaries. With her early work already garnering significant attention, Yuanjun Jia is establishing herself as a key figure in the future of autonomous systems.