Jiayi Ji

Southwest Petroleum University, Xiamen University

Papers

Total Citations

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About

Jiayi Ji is a rising star in artificial intelligence and robotics, whose research bridges the critical gap between 2D vision and 3D spatial understanding. His work centers on two transformative areas: advanced path planning for autonomous systems and multi-modal 3D representation learning. In path planning, Jiayi revolutionized the classic A-Star algorithm by integrating collision avoidance and path smoothing, moving beyond simple shortest-path calculations to account for a robot's physical morphology—a contribution that has already garnered 9 citations since 2023. His most impactful work, however, lies in 3D representation. With the JM3D and JM3D-LLM frameworks (2024, 8 citations), Jiayi tackles the fundamental challenge of transferring 2D alignment strategies to the 3D domain, addressing issues of information loss and modality mismatch. By jointly leveraging multi-modal cues, he elevates 3D representations for applications in computer vision, autonomous driving, and robotics. Jiayi’s research is notable for its practical orientation—solving real-world constraints in robot navigation while advancing the theoretical foundations of 3D learning. As his citation counts rapidly grow, Jiayi Ji is establishing himself as a key innovator at the intersection of spatial intelligence and autonomous systems.