338 citations · 711 across the 6 of their papers we have counts for
6 papers
Hawk: An Efficient NALM System for Accurate Low-Power Appliance Recognition
Zijian Wang, Xingzhou Zhang, Yifan Wang +2
Non-intrusive Appliance Load Monitoring (NALM) aims to recognize individual appliance usage from the main meter without indoor sensors. However, existing systems struggle to balanc…
E-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles
Jiashun Suo, Xingzhou Zhang, Weisong Shi +1
Motivated by the advances in deep learning techniques, the application of Unmanned Aerial Vehicle (UAV)-based object detection has proliferated across a range of fields, including…
HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection
Jiashun Suo, Tianyi Wang, Xingzhou Zhang +3
We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs). The dataset comprises 2,898 infrared…
A Survey on Edge Computing Systems and Tools
Fang Liu, Guoming Tang, Youhuizi Li +3
Driven by the visions of Internet of Things and 5G communications, the edge computing systems integrate computing, storage and network resources at the edge of the network to provi…
pCAMP: Performance Comparison of Machine Learning Packages on the Edges
Xingzhou Zhang, Yifan Wang, Weisong Shi
Machine learning has changed the computing paradigm. Products today are built with machine intelligence as a central attribute, and consumers are beginning to expect near-human int…
OpenEI: An Open Framework for Edge Intelligence
Xingzhou Zhang, Yifan Wang, Sidi Lu +3
In the last five years, edge computing has attracted tremendous attention from industry and academia due to its promise to reduce latency, save bandwidth, improve availability, and…