Weipeng Zhuo
Papers
1
Total Citations
6
H-Index
1
About
Weipeng Zhuo is a researcher at the forefront of crowdsensing and indoor localization, with a focus on making smart-city infrastructure more scalable and accessible. His key research areas include floor identification, RF signal processing, and machine learning for pervasive computing. Zhuo’s major contribution is the development of FIS-ONE, a groundbreaking floor identification system that requires only a single labeled data point to accurately determine the floor level of crowdsourced RF signals. This work directly addresses the critical bottleneck of costly data annotation in multi-floor indoor localization, geofencing, and robot surveillance. By significantly reducing the need for extensive ground-truth labeling, FIS-ONE enables practical, large-scale deployment of floor-aware services. With 6 citations since its 2023 publication, this paper has already attracted attention for its elegant solution to a persistent challenge in the field. Zhuo’s approach not only advances the state of the art in indoor positioning but also paves the way for more efficient, self-sustaining smart-city applications that can learn from minimal human input.
Research Focus
Key Achievements
Top Papers
- 1