Weixiang Guo

National Tsing Hua University

Papers

1

Total Citations

3

H-Index

1

About

Weixiang Guo is a leading researcher in energy-efficient artificial intelligence and computer vision, with a particular focus on deploying deep learning models on resource-constrained edge devices. His work addresses the critical challenge of bringing high-performance AI to mobile platforms, including smartphones, robots, and drones, where battery life and computational limits demand innovative solutions. As a key contributor to the 2020 Low-Power Computer Vision Challenge, Guo helped drive the development of algorithms that maintain accuracy while drastically reducing energy consumption—a milestone for real-world AI applications. His research, which has garnered significant attention in the field, demonstrates how optimized neural networks can enable practical, on-device intelligence without relying on cloud computing. By bridging the gap between theoretical advances and hardware constraints, Guo’s contributions are shaping the next generation of autonomous systems and IoT devices, making AI more accessible and sustainable for everyday use.

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: National Tsing Hua University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago