Guo-Sen Xie

Nanjing University of Science and Technology

Papers

Total Citations

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About

Guo-Sen Xie is a leading researcher in computer vision and artificial intelligence, with a primary focus on human action understanding, skeleton-based motion perception, and foundation models. His most notable contribution is the pioneering work "Foundation Model for Skeleton-Based Human Action Understanding" (2025), which establishes a unified framework for intelligent motion perception using skeleton data—a modality- and device-agnostic representation critical for humanoid robot control and human-robot interaction. This work has already garnered significant attention, laying the groundwork for scalable, generalizable action recognition systems. Xie’s research bridges the gap between raw motion data and high-level semantic understanding, enabling robust performance across diverse scenarios. With a growing citation impact, his contributions are shaping the next generation of embodied AI and interactive systems. His achievements highlight a commitment to advancing foundational models that transcend traditional task-specific approaches, making him a key figure in the evolution of human-centric machine intelligence.