Ruofan Xing
Papers
1
Total Citations
3
H-Index
1
About
Ruofan Xing is a rising researcher at the forefront of 4D human-scene interaction and collaborative behavior modeling. Their work centers on understanding how people interact with objects and each other in dynamic, three-dimensional spaces—a critical challenge for advancing virtual reality, augmented reality, and human-robot collaboration. Xing’s most notable contribution is the creation of **CORE4D**, a large-scale 4D dataset capturing human-object-human interactions during cooperative object rearrangement. This pioneering resource fills a significant gap in the field, providing rich, temporally synchronized motion data that enables researchers to model complex, multi-agent behaviors for the first time. With early citations already accumulating, CORE4D is poised to become a foundational benchmark for studying collaborative tasks in embodied AI. Xing’s work directly addresses the under-researched area of cooperative spatial reasoning, offering both a valuable dataset and a methodological framework that will empower future innovations in interactive systems, robotics, and digital human simulation.
Research Focus
Key Achievements
Top Papers
- 1