The Embedded AI and IoT (AIoT) Lab has brought home multiple prestigious awards from two leading conferences in mobile systems and sensor networks.

At the 22nd ACM International Conference on Mobile Systems, Applications, and Services (MobiSys) held in Tokyo, Japan, the lab’s demo titled “MuRa: A Scalable Mobile Ultra-wideband Testbed for Multi-node Ranging” received the Best Demo Award with votes from over 400 attendees. The winning demo was presented by Shaoyang Yang, a PhD student co-supervised by Prof. Hongkai Chen and Prof. Guoliang Xing.

Just three weeks prior, at the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) in Hong Kong, the paper “ArtFL: Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training” received the sole Best Paper Award. The first author is Siyang Jiang, a PhD student supervised by Prof. Guoliang Xing.

At the same conference, the demo “AD-CLIP: Privacy-Preserving, Low-Cost Synthetic Human Action Dataset for Alzheimer’s Patients via CLIP-based Models” was honored with the only Best Demo Award at IPSN. This demo was presented by Heming Fu, a research assistant co-supervised by Prof. Hongkai Chen and Prof. Guoliang Xing.
The Embedded AI and IoT Lab’s outstanding performance at these top-tier conferences showcases their cutting-edge research and innovative solutions in mobile systems and sensor networks. Congratulations to the team!