13 citations · 23 across the 5 of their papers we have counts for
5 papers
Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
Haochen Wang, Zhiwei Shi, Chengxi Zhu +6
Learning-based methods, such as imitation learning (IL) and reinforcement learning (RL), can produce excel control policies over challenging agile robot tasks, such as sports robot…
WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic
Cheng Zhang, Yunze Pan, Yunqi Zhang +5
Identifying "superspreaders" of disease is a pressing concern for society during pandemics such as COVID-19. Superspreaders represent a group of people who have much more social co…
ACOUSTIC-TURF: Acoustic-based Privacy-Preserving COVID-19 Contact Tracing
Yuxiang Luo, Cheng Zhang, Yunqi Zhang +5
In this paper, we propose a new privacy-preserving, automated contact tracing system, ACOUSTIC-TURF, to fight COVID-19 using acoustic signals sent from ubiquitous mobile devices. A…
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices
Jihun Hamm, Adam Champion, Guoxing Chen +2
Smart devices with built-in sensors, computational capabilities, and network connectivity have become increasingly pervasive. The crowds of smart devices offer opportunities to col…
BlueSky: Realizing Buried Potential of Bluetooth to Sustain a Large-scale Multi-hop Network
Xinfeng Li, Chenshu Wu, Xiaoyuan Wang +3
Traditionally, Bluetooth has been deemed unsuitable for sustaining a large-scale multi-hop network. There are two main reasons: severe frequency channel collisions under a large-sc…