D
Daqing Zhang
Researcher at Peking University
Publications - 355
Citations - 20924
Daqing Zhang is an academic researcher from Peking University. The author has contributed to research in topics: Context (language use) & Mobile computing. The author has an hindex of 67, co-authored 331 publications receiving 16675 citations. Previous affiliations of Daqing Zhang include Institut Mines-Télécom & Institute for Infocomm Research Singapore.
Papers
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Journal ArticleDOI
Real Time Anomalous Trajectory Detection and Analysis
TL;DR: A novel GPS-based taxi system which can detect ongoing anomalous passenger delivery behaviors leveraging the proposed iBOAT method is presented and the effectiveness of the system with large scale real life taxi GPS records while serving 200,000 taxis is evaluated.
Book ChapterDOI
AR-Alarm: An Adaptive and Robust Intrusion Detection System Leveraging CSI from Commodity Wi-Fi
Shengjie Li,Shengjie Li,Xiang Li,Xiang Li,Kai Niu,Kai Niu,Hao Wang,Hao Wang,Yue Zhang,Yue Zhang,Daqing Zhang,Daqing Zhang +11 more
TL;DR: AR-Alarm as discussed by the authors leverages the fine-grained Channel State Information (CSI) in commodity WiFi devices and achieves real-time intrusion detection in different environments without calibration efforts.
Proceedings ArticleDOI
The architecture design of a cross-domain context management system
Bin Guo,Lin Sun,Daqing Zhang +2 more
TL;DR: A new context management framework, which supports the interaction between different domain context managers, and a transparent query mechanism that enables applications to obtain context information about mobile entities from remote domains is presented.
Journal ArticleDOI
WiPhone: Smartphone-based Respiration Monitoring Using Ambient Reflected WiFi Signals
TL;DR: In this article, the authors exploit ambient reflected CSI signals in a non-line-of-sight (NLoS) setting to quantify the relationship between CSI signals reflected from the environment and a subject's chest displacement.
Journal ArticleDOI
Participant Selection for Offline Event Marketing Leveraging Location-Based Social Networks
TL;DR: A framework that supports marketers in improving marketing effectiveness by carefully selecting invitees to sponsored offline events by leveraging location-based social networks is presented and the proposed marketing effect quantitative model is validated with real-world data.