MFDL: A Multicarrier Fresnel Penetration Model based Device-Free Localization System leveraging Commodity Wi-Fi Cards

Hao Wang, Daqing Zhang, Kai Niu +5

Inverse Reinforcement Learning with Multiple Ranked Experts

Pablo Samuel Castro, Shijian Li, Daqing Zhang

The paper proposes a method for inverse reinforcement learning that uses multiple demonstrators ranked by performance, applying ordinal regression to infer a reward function that s…

Anti-Fall: A Non-intrusive and Real-time Fall Detector Leveraging CSI from Commodity WiFi Devices

Daqing Zhang, Hao Wang, Yasha Wang +1

From Participatory Sensing to Mobile Crowd Sensing

Bin Guo, Zhiwen Yu, Daqing Zhang +1

Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing

Leye Wang, Wenbin Liu, Daqing Zhang +3

Mobile Crowd Sensing and Computing: When Participatory Sensing Meets Participatory Social Media

Bin Guo, Chao Chen, Daqing Zhang +2

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries

Chao Chen, Sen Yang, Weichen Liu +3

HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing

Jiangtao Wang, Feng Wang, Yasha Wang +5

Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities

Jiangtao Wang, Leye Wang, Yasha Wang +2

Ridesourcing Car Detection by Transfer Learning

Leye Wang, Xu Geng, Jintao Ke +4

Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions

Jiangtao Wang, Yasha Wang, Daqing Zhang +2

CDTOM: A Context-driven Task-oriented Middleware for Pervasive Homecare Environment

Hongbo Ni, Bessam Abdulrazak, Daqing Zhang +1

TaskMe: Multi-Task Allocation in Mobile Crowd Sensing

Yan Liu, Bin Guo, Yang Wang +3

FarSense: Pushing the Range Limit of WiFi-based Respiration Sensing with CSI Ratio of Two Antennas

Youwei Zeng, Dan Wu, Jie Xiong +3

FarSense is a real‑time system that uses the ratio of WiFi channel state information from two antennas to reliably monitor human respiration at distances up to 8 m, even through wa…

Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing

Jiangtao Wang, Feng Wang, Yasha Wang +3