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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.

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Journal ArticleDOI

Mobile crowd sensing and computing: when participatory sensing meets participatory social media

TL;DR: This article characterizes the unique features and challenges of MCSC and presents early efforts on MCSC to demonstrate the benefits of aggregating heterogeneous crowdsourced data.
Journal ArticleDOI

Beyond Cell-Free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-Free MIMO Communications

TL;DR: This article considers an RIS aided cell-free MIMO system where multiple RISs are deployed around BSs and users to create favorable propagation conditions via reconfigurable reflections in a low-cost way, thereby enhancing cell- free MIMo communications and can achieve a higher energy efficiency than conventional ones.
Proceedings ArticleDOI

B-Planner: Night bus route planning using large-scale taxi GPS traces

TL;DR: A two-phase approach based on the crowd-sourced GPS data for night-bus route planning by leveraging taxi GPS traces is proposed, which develops two heuristic algorithms to automatically generate candidate bus routes and selects the best route which expects the maximum number of passengers under the given conditions.
Journal ArticleDOI

effSense: A Novel Mobile Crowd-Sensing Framework for Energy-Efficient and Cost-Effective Data Uploading

TL;DR: EffSense is an energy-efficient and cost-effective data uploading framework, which utilizes adaptive uploading schemes within fixed data uploading cycles, and can reduce 55%-65% energy consumption for DP users, and 48%-52% data cost for NDP users, respectively, compared to traditional uploading schemes.
Journal ArticleDOI

Towards a Diffraction-based Sensing Approach on Human Activity Recognition

TL;DR: It is argued that a deep understanding of radio signal propagation in wireless sensing is needed, and it may be possible to develop a deterministic sensing model to make the signal variation patterns predictable, and this model is proposed to quantitatively determine the signal change with respect to a target's motions.