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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
Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions
TL;DR: In this paper, the authors provide a literature review for CPSC and identify future research opportunities, defining the concepts with typical CPSC applications and presenting the main characteristics of CPSC, and highlighting the research issues.
Journal ArticleDOI
Understanding WiFi signal frequency features for position-independent gesture sensing
TL;DR: Zhang et al. as discussed by the authors developed a WiFi frequency model to quantify the relationship between signal frequency and target position, motion direction and speed for human activities, and further identified movement fragments and relative motion direction changes as two position-independent features.
Book ChapterDOI
GroupMe: Supporting Group Formation with Mobile Sensing and Social Graph Mining
TL;DR: GroupMe as mentioned in this paper is a mobile social activity support system based on mobile sensing and social graph mining, where user activities are automatically sensed and logged in the social activity logging (ACL) repository by analyzing the historical ACL data through a series of group mining algorithms.
Journal ArticleDOI
Enhancing Memory Recall via an Intelligent Social Contact Management System
TL;DR: An intelligent social contact manager is developed that supports 1) autocollection of rich contact data from a combination of pervasive sensors and Web data sources, and 2) associative search of contacts when human memory fails.
Journal ArticleDOI
ScenicPlanner: planning scenic travel routes leveraging heterogeneous user-generated digital footprints
TL;DR: A novel framework called ScenicPlanner for route recommendation, leveraging a combination of geotagged image and check-in digital footprints from locationbased social networks (LBSNs), which aims to maximizing the total scenic view score while satisfying the user-specified constraints.