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Xiangjie Kong
Researcher at Zhejiang University of Technology
Publications - 161
Citations - 6003
Xiangjie Kong is an academic researcher from Zhejiang University of Technology. The author has contributed to research in topics: Computer science & The Internet. The author has an hindex of 37, co-authored 152 publications receiving 3929 citations. Previous affiliations of Xiangjie Kong include Dalian University of Technology & Zhejiang University.
Papers
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Journal ArticleDOI
Real-Time Mask Identification for COVID-19: An Edge-Computing-Based Deep Learning Framework
Xiangjie Kong,Kailai Wang,Shupeng Wang,Xiaojie Wang,Xin Jiang,Yi Guo,Guojiang Shen,Xin Chen,Qichao Ni +8 more
TL;DR: An edge computing-based mask (ECMask) identification framework to help public health precautions, which can ensure real-time performance on the low-power camera devices of buses and has valuable application in COVID-19 prevention.
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Big Trajectory Data: A Survey of Applications and Services
TL;DR: This paper mainly introduces the trajectory data from the perspective of applications and services, and divides the data into explicit trajectory data and implicit trajectory data, and describes each type in detail.
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Exploiting Publication Contents and Collaboration Networks for Collaborator Recommendation.
TL;DR: This work proposes a novel collaborator recommendation model called CCRec, which combines the information on researchers’ publications and collaboration network to generate better recommendation and outperforms other state-of-the-art methods in terms of precision, recall and F1 score.
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A Survey of Scholarly Data Visualization
TL;DR: This paper provides a comprehensive overview of related data visualization tools, existing techniques, as well as systems for the analyzing volumes of diverse scholarly data.
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Collision Avoidance in Fixed-Wing UAV Formation Flight Based on a Consensus Control Algorithm
TL;DR: A consensus-based collision avoidance algorithm for multiple UAVs based on an improved artificial potential field method and a “leader-follower” control strategy are simultaneously applied for UAV formation control to ensure the convergence of the formation.