10 citations · 10 across the 2 of their papers we have counts for
3 papers
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…
cs.CV2022★ 10 cited
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices
Sicong Liu, Xiaochen Li, Zimu Zhou +4
The ubiquity of camera-embedded devices and the advances in deep learning have stimulated various intelligent mobile video applications. These applications often demand on-device p…
cs.RO2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Mengyuan Li, Bin Guo, Jiangshan Zhang +5
Automated Guided Vehicles (AGVs) have been widely used for material handling in flexible shop floors. Each product requires various raw materials to complete the assembly in produc…