Lizhuang Ma

Shanghai Jiao Tong University, Nanyang Technological University, Sichuan Cancer Hospital

Papers

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About

Lizhuang Ma is a pioneering researcher whose work bridges geometric modeling, computer graphics, and AI-assisted surgical technologies. His key research areas include shape analysis, motion representation, and medical image computing. Ma made significant contributions to shape understanding through his influential survey on shape context-based mesh saliency detection, which has garnered 21 citations and provided a foundational framework for 3D shape analysis and its applications. His earlier work on interpolating and approximating moving frames using B-splines (6 citations) addressed a critical challenge in CAD/CAM and robotic motion design by enabling homogeneous representation of moving geometry entities. Most recently, Ma has ventured into translational AI research, co-developing a system for precise identification and segmentation of parathyroid glands in endoscopic and robotic thyroid surgeries (2025, 2 citations), demonstrating the real-world impact of his computational methods. His career trajectory showcases a rare ability to advance fundamental geometric theory while simultaneously applying it to solve pressing clinical problems, making his work equally relevant to computer scientists and medical practitioners.