Lingting Zhu

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About

Lingting Zhu is a rising researcher at the forefront of surgical robotics and 3D computer vision, with a focused expertise in deformable tissue reconstruction for endoscopic procedures. Their major contribution centers on the development of **EndoGS**, a groundbreaking framework that applies Gaussian Splatting—a state-of-the-art neural rendering technique—to the challenging problem of reconstructing soft, moving tissues from single-viewpoint surgical videos. This work directly addresses a critical bottleneck in robotic surgery: existing dynamic radiance field methods, while promising, are notoriously slow to optimize and impractical for real-time clinical use. Zhu’s approach dramatically accelerates this process, enabling high-fidelity, real-time 3D reconstruction of deformable anatomical structures. The impact of this innovation is already clear, with the 2025 publication of EndoGS accumulating **27 citations** in its first year, signaling strong adoption by the surgical vision community. By bridging the gap between advanced neural graphics and practical surgical needs, Lingting Zhu is paving the way for more intelligent, visually-guided robotic systems that could enhance precision and outcomes in minimally invasive surgery.