Changli Wu

Second Hospital of Tianjin Medical University, Xiamen University

Papers

Total Citations

H-Index

About

Changli Wu is a versatile researcher whose work bridges the critical domains of surgical oncology and cutting-edge artificial intelligence. In the medical field, Wu has made significant contributions to urologic oncology, most notably through a landmark systematic review and meta-analysis comparing robot-assisted and open partial nephrectomy. This highly cited work (54 citations) provided crucial evidence on perioperative outcomes, helping to establish the safety and efficacy of robotic surgery for kidney cancer patients—a contribution that has informed clinical practice worldwide. More recently, Wu has ventured into the frontier of 3D representation learning, co-authoring the innovative JM3D and JM3D-LLM frameworks. These works tackle the fundamental challenge of aligning 2D and 3D multimodal data, introducing joint multi-modal cues to elevate 3D understanding for applications in computer vision, autonomous driving, and robotics. By addressing the limitations of simply transferring 2D strategies to 3D, Wu’s research is shaping the next generation of intelligent systems. This dual expertise—spanning life-saving surgical techniques and transformative AI—demonstrates a rare ability to drive impact across both biomedical and computational sciences.