Yuhui Li
Papers
1
Total Citations
5
H-Index
1
About
Yuhui Li is a leading researcher in energy-efficient autonomous systems, with a focus on sensor fusion and runtime adaptation. Their work addresses the critical challenge of balancing performance and power consumption in resource-constrained platforms like aerial drones and autonomous vehicles. Li’s most-cited paper, “CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion” (2023), introduces a novel framework that dynamically adjusts sensor and model configurations based on real-time environmental context, significantly reducing energy usage without sacrificing accuracy. This contribution has garnered 5 citations in a short time, reflecting its growing influence in the field. Li’s research bridges deep learning, embedded systems, and adaptive control, offering practical solutions for next-generation autonomous robots. By enabling smarter, more sustainable operation, Li’s work is paving the way for longer-lasting, more reliable autonomous systems in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1