Asteroid, a distributed edge training system that breaks the resource walls across heterogeneous edge devices for efficient model training acceleration. Asteroid adopts a hybrid pipeline parallelism to orchestrate distributed training, along with a judicious parallelism planning for maximizing throughput undercertain resource constraints.
The core concept of αLiDAR is to expand the operational freedom of a LiDAR sensor through the incorporation of a controllable, active rotational mechanism. This modification allows the sensor to scan previously inaccessible blind spots and focus on specific areas of interest in an adaptive manner.
Soar, the first end-to-end SRI system specifically designed to support autonomous driving systems. Soar consists of both software and hardware components carefully designed to overcome various system and physical challenges.
At MobiCom’24, Jiahe & Yuze’s work “αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System” received Best Artifact Award and Best Demo Award Runner-up….
ADMarker offers a new platform
that can allow AD clinicians to characterize and track the
complex correlation between multidimensional interpretable
digital biomarkers, demographic factors of patients, and AD
diagnosis in a longitudinal manner.
Prof. Guoliang Xing Serving as the Interim Joint Steering Committee Co-Chair of SenSys, IPSN, and IoTDI, and General Co-Chair of SenSys’25.
Prof. Guoliang Xing Received the Research Excellence Award, Outstanding Fellow from Faculty of Engineering.
Our demo “Myotrainer: Muscle-Aware Motion Analysis and Feedback” received the Best Demo Runner-up Award at SenSys 2024! Congrats to Yuting, Xinyan, Mu, and Di!