most citedDeep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls

1 citations · 1 across the 3 of their papers we have counts for

collaborators

2 papers

cs.AI2024

AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices

Yuzhan Wang, Sicong Liu, Bin Guo +6

Deep learning is reshaping mobile applications, with a growing trend of deploying deep neural networks (DNNs) directly to mobile and embedded devices to address real-time performan…

cs.LG2024★ 1 cited

Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls

Sicong Liu, Wentao Zhou, Zimu Zhou +5

There is a growing demand to deploy computation-intensive deep learning (DL) models on resource-constrained mobile devices for real-time intelligent applications. Equipped with a v…