Dayou Liu

Changchun University of Science and Technology, Jilin University

Papers

Total Citations

121

H-Index

About

Dayou Liu is a researcher whose work centers on qualitative spatial reasoning and knowledge representation within artificial intelligence. His most influential contribution is a comprehensive 2013 survey on qualitative spatial representations, which has garnered 116 citations and stands as a key reference for researchers working across geographic information systems, computer vision, autonomous robot navigation, natural language understanding, and spatial databases. This survey synthesizes the landscape of how spatial relations can be formally represented and reasoned about without relying on precise numerical values — a fundamental challenge in AI. Liu has also explored multi-granularity and metric spatial reasoning, addressing how spatial knowledge can be structured across different levels of detail and precision. His earlier work on spatio-temporal representations for occlusion relations tackles the nuanced problem of how objects visually obscure one another from a given viewpoint, with direct implications for robot navigation and computer vision systems. Through these contributions, Liu has helped establish theoretical frameworks that underpin intelligent spatial reasoning systems, making his survey in particular an essential starting point for students and researchers entering the fields of qualitative reasoning and spatial AI.