Yuyao Ye

Guangdong Academy of Sciences, German Research Centre for Artificial Intelligence

Papers

Total Citations

H-Index

About

Yuyao Ye’s research lies at the intersection of economic geography, technological innovation, and robotics, exploring how infrastructure and spatial dynamics shape industrial evolution. A key contribution is the study of new infrastructure—such as 5G and data centers—and its spatially and industrially heterogeneous effects on fostering emerging industries in Chinese cities (2023, 9 citations). This work provides critical insights for policymakers seeking targeted development strategies. Ye also investigates the geographical patterns of strategic industry innovation in the Guangdong-Hong Kong-Macao Greater Bay Area (2022, 2 citations), revealing how path dependence and regional diversity drive technological trajectories. In robotics, Ye pushes boundaries with DexGraspVLA (2026, 2 citations), a vision-language-action framework for general dexterous grasping, addressing the challenge of grasping diverse objects in arbitrary scenarios—a step toward truly versatile robots. Though early in citation accumulation, these contributions span from macro-level urban innovation to micro-level robotic manipulation, demonstrating a rare breadth. Ye’s work is notable for bridging theoretical geography with applied AI, offering fresh perspectives for students and researchers interested in how space, technology, and policy interact to shape future industries.