8 citations · 19 across the 6 of their papers we have counts for
7 papers
Invariant Feature Learning for Sensor-based Human Activity Recognition
Yujiao Hao, Boyu Wang, Rong Zheng
Wearable sensor-based human activity recognition (HAR) has been a research focus in the field of ubiquitous and mobile computing for years. In recent years, many deep models have b…
CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge
Yihao Fang, Shervin Manzuri Shalmani, Rong Zheng
The success of deep neural networks (DNN) in machine perception applications such as image classification and speech recognition comes at the cost of high computation and storage c…
Informative Path Planning for Mobile Sensing with Reinforcement Learning
Yongyong Wei, Rong Zheng
Large-scale spatial data such as air quality, thermal conditions and location signatures play a vital role in a variety of applications. Collecting such data manually can be tediou…
Informative Path Planning for Location Fingerprint Collection
Yongyong Wei, Cristian Frincu, Rong Zheng
Fingerprint-based indoor localization methods are promising due to the high availability of deployed access points and compatibility with commercial-off-the-shelf user devices. How…
Detecting Location Fraud in Indoor Mobile Crowdsensing
Qiang Xu, Rong Zheng, Ezzeldin Tahoun
Mobile crowdsensing allows a large number of mobile devices to measure phenomena of common interests and form a body of knowledge about natural and social environments. In order to…
ARABIS: an Asynchronous Acoustic Indoor Positioning System for Mobile Devices
Yu-Ting Wang, Jun Li, Rong Zheng +1
Acoustic ranging based indoor positioning solutions have the advantage of higher ranging accuracy and better compatibility with commercial-off-the-self consumer devices. However, s…