Papers
2
Total Citations
30
H-Index
2
About
Dr. Zixuan Su is a pioneering researcher whose work bridges the transformative fields of thoracic surgery and advanced robotics. Dr. Su’s primary contributions lie in two distinct but equally impactful areas: the evolution of minimally invasive surgical techniques for lung cancer and the development of cutting-edge algorithms for 3D perception in robotics. In their highly cited 2020 work (28 citations), Dr. Su critically examined the rapid progress of video-assisted thoracoscopic surgery (VATS) for early-stage non-small cell lung cancer, positioning it as the future of thoracic surgery and challenging the long-standing gold standard of lobectomy. This work has helped shape modern surgical discourse. More recently, Dr. Su has ventured into the domain of autonomous systems, proposing a novel GCN-PRFNet algorithm for point cloud registration and stitching. This research directly addresses a critical bottleneck in robot navigation and 3D reconstruction, where precise map construction is paramount. By fusing graph convolutional networks with advanced registration techniques, Dr. Su is laying the algorithmic groundwork for more accurate and reliable robotic perception. This dual expertise—from the operating room to the robotics lab—marks Dr. Su as a uniquely versatile and forward-thinking innovator.
Research Focus
Key Achievements
Top Papers
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- 2