World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
12593
World Ranking
5031
National Ranking
678

Overview

Bin Guo is affiliated with Northwestern Polytechnical University in China and has an extensive research portfolio primarily in the fields of computer science and engineering. Their work spans multiple subfields with a focused interest in artificial intelligence, computer vision and pattern recognition, computer networks and communications, computer science applications, and electrical and electronic engineering.

The scientific contributions of Bin Guo cover various topics, including:

  • Mobile Crowdsensing and Crowdsourcing
  • Human Mobility and Location-Based Analysis
  • Topic Modeling
  • Internet of Things (IoT) and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Recommender Systems and Techniques
  • Indoor and Outdoor Localization Technologies

Bin Guo has published extensively in several venues, reflecting a focus on mobile computing, interactive technologies, and IoT. Frequent publication venues include:

  • IEEE Transactions on Mobile Computing
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • IEEE Internet of Things Journal
  • arXiv (Cornell University)
  • SSRN Electronic Journal

Their recent papers demonstrate contributions to authentication methods, recommendation systems, social media analysis, neural network architectures, and federated learning. Selected recent publications include:

  • Behavioral Biometrics for Continuous Authentication in the Internet-of-Things Era: An Artificial Intelligence Perspective (2020), IEEE Internet of Things Journal
  • Mining Consuming Behaviors with Temporal Evolution for Personalized Recommendation in Mobile Marketing Apps (2020), Mobile Networks and Applications
  • The Future of False Information Detection on Social Media (2020), ACM Computing Surveys
  • Fusion of Heterogeneous Attention Mechanisms in Multi-view Convolutional Neural Network for Text Classification (2020), Information Sciences
  • Accelerating Convergence of Federated Learning in MEC with Dynamic Community (2023), IEEE Transactions on Mobile Computing

Bin Guo frequently collaborates with several co-authors, including Zhiwen Yu, Zhu Wang, Sicong Liu, Liang Wang, and Yasan Ding.

In addition to journal and conference publications, Bin Guo has contributed to academic literature in book format. One known publication is "Data Science" (2023), published by Springer Science+Business Media.

Best Publications

  • Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm

    Bin Guo;Zhu Wang;Zhiwen Yu;Yu Wang

  • Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities

    Kaixuan Chen;Dalin Zhang;Lina Yao;Bin Guo

  • From participatory sensing to Mobile Crowd Sensing

    Bin Guo;Zhiwen Yu;Xingshe Zhou;Daqing Zhang

  • Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things

    Bin Guo;Daqing Zhang;Zhu Wang;Zhiwen Yu

  • Activity recognition on an accelerometer embedded mobile phone with varying positions and orientations

    Lin Sun;Daqing Zhang;Bin Li;Bin Guo

  • Personalized Travel Package With Multi-Point-of-Interest Recommendation Based on Crowdsourced User Footprints

    Zhiwen Yu;Huang Xu;Zhe Yang;Bin Guo

  • ActiveCrowd: A Framework for Optimized Multitask Allocation in Mobile Crowdsensing Systems

    Bin Guo;Yan Liu;Wenle Wu;Zhiwen Yu

  • The Emergence of Social and Community Intelligence

    Daqing Zhang;Bin Guo;Zhiwen Yu

  • TaskMe: multi-task allocation in mobile crowd sensing

    Yan Liu;Bin Guo;Yang Wang;Wenle Wu

  • 4W1H in Mobile Crowd Sensing

    Daqing Zhang;Leye Wang;Haoyi Xiong;Bin Guo

  • crowddeliver : Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis

    Chao Chen;Daqing Zhang;Xiaojuan Ma;Bin Guo

  • From Participatory Sensing to Mobile Crowd Sensing

    Bin Guo;Zhiwen Yu;Daqing Zhang;Xingshe Zhou

  • Behavioral Biometrics for Continuous Authentication in the Internet-of-Things Era: An Artificial Intelligence Perspective

    Yunji Liang;Sagar Samtani;Bin Guo;Zhiwen Yu

  • FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing

    Bin Guo;Huihui Chen;Zhiwen Yu;Xing Xie

  • TripPlanner: Personalized Trip Planning Leveraging Heterogeneous Crowdsourced Digital Footprints

    Chao Chen;Daqing Zhang;Bin Guo;Xiaojuan Ma

  • Wi-Fi CSI-Based Behavior Recognition: From Signals and Actions to Activities

    Zhu Wang;Bin Guo;Zhiwen Yu;Xingshe Zhou

  • From the internet of things to embedded intelligence

    Bin Guo;Daqing Zhang;Zhiwen Yu;Yunji Liang

  • Task Allocation in Spatial Crowdsourcing: Current State and Future Directions

    Bin Guo;Yan Liu;Leye Wang;Victor O. K. Li

  • Multi-Objective Optimization Based Allocation of Heterogeneous Spatial Crowdsourcing Tasks

    Liang Wang;Zhiwen Yu;Qi Han;Bin Guo

  • FreeSense: Indoor Human Identification with Wi-Fi Signals

    Tong Xin;Bin Guo;Zhu Wang;Mingyang Li

  • The Future of False Information Detection on Social Media: New Perspectives and Trends

    Bin Guo;Yasan Ding;Lina Yao;Yunji Liang

  • ActiveCrowd: A Framework for Optimized Multi-Task Allocation in Mobile Crowdsensing Systems

    Bin Guo;Yan Liu;Wenle Wu;Zhiwen Yu

Frequent Co-Authors

Zhiwen Yu
Zhiwen Yu Northwestern Polytechnical University
Daqing Zhang
Daqing Zhang Peking University
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Xing Xie
Xing Xie Microsoft Research Asia (China)
John C. Reed
John C. Reed Johnson & Johnson (United States)
Peixuan Guo
Peixuan Guo The Ohio State University
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Othman Ghribi
Othman Ghribi University of North Dakota
Victor O. K. Li
Victor O. K. Li University of Hong Kong

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