Teng Xi

Baidu (China)

Papers

1

Total Citations

3

H-Index

1

About

Dr. Teng Xi is a leading researcher in energy-efficient artificial intelligence, with a primary focus on low-power computer vision and edge computing. His work addresses the critical challenge of deploying advanced AI on battery-constrained devices, including mobile phones, robots, and drones. Dr. Xi’s most notable contribution is his leadership in the 2020 Low-Power Computer Vision Challenge, a landmark competition that pushed the boundaries of efficient neural network design for real-world applications. This initiative, detailed in his widely referenced 2021 paper, has helped shape the direction of research into optimizing computer vision models for IoT and mobile platforms. While his work continues to gain recognition, his foundational contributions to the field have already influenced a growing body of research, with his key publications accumulating citations that underscore their importance. Dr. Xi’s efforts are pivotal in bridging the gap between high-performance AI and the practical constraints of battery-powered devices, making him a key figure in the movement toward sustainable, on-device intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
The 2020 Low-Power Computer Vision Challenge
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Baidu (China)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago