Chenwei Xu

Science North, China University of Mining and Technology

Papers

Total Citations

H-Index

About

Chenwei Xu is a rising researcher at the forefront of embodied AI and medical computer vision, whose work bridges the gap between human-centric reasoning and high-fidelity 4D reconstruction. His key contributions lie in two transformative areas: open-ended multi-modal reasoning for video question answering, and efficient 4D reconstruction of deformable biological tissues. In his 2023 paper, Xu introduced a novel robotic agent that integrates video recognition with language-based interactions to answer open-ended questions in dynamic, real-world scenes—a critical step toward assistive AI that understands context and responds naturally. His 2024 work on DnFPlane presents an innovative framework for reconstructing deformable tissues in 4D, achieving both high quality and computational efficiency, with direct applications in surgical simulation and medical imaging. Though early in his career, Xu’s papers have already garnered attention (2 citations each), signaling growing impact. His ability to combine relational reasoning with practical reconstruction techniques marks him as a promising talent in multi-modal AI and biomedical engineering, with potential to shape future interactive and medical technologies.