32 citations · 61 across the 10 of their papers we have counts for
5 papers · 1 filter
AI Infrastructure in Space: How Far Can We Go?
Qing Li, Qiyang Zhang, Daliang Xu +10
Satellites are becoming programmable computing platforms capable of running increasingly demanding AI workloads. This shift raises a systems problem: how can AI services remain dep…
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution
Yunquan Gao, Zhiguo Zhang, Praveen Kumar Donta +4
Deep Neural Networks (DNNs) are increasingly deployed across diverse industries, driving demand for mobile device support. However, existing mobile inference frameworks often rely…
Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites
Yijie Chen, Qiyang Zhang, Yiran Zhang +2
In recent years, Low Earth Orbit (LEO) satellites have witnessed rapid development, with inference based on Deep Neural Network (DNN) models emerging as the prevailing technology f…
The First Verification Test of Space-Ground Collaborative Intelligence via Cloud-Native Satellites
Shangguang Wang, Qiyang Zhang, Ruolin Xing +2
Recent advancements in satellite technologies and the declining cost of access to space have led to the emergence of large satellite constellations in Low Earth Orbit. However, the…
Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams
Jinglong Guan, Qiyang Zhang, Ilir Murturi +3
As a driving force in the advancement of intelligent in-orbit applications, DNN models have been gradually integrated into satellites, producing daily latency-constraint and comput…