World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8244
World Ranking
6537
National Ranking
261

Overview

Kui Wu is affiliated with the University of Victoria in Canada and has contributed extensively to research in computer science and engineering. Their work spans multiple related subfields and topics encompassing both theoretical and applied aspects of networking, computing, and intelligent systems.

Wu's main fields of study include:

  • Computer Science
  • Engineering

Within these fields, key subfields of study consist of:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Information Systems

Their research addresses several main topics:

  • IoT and Edge/Fog Computing
  • Green IT and Sustainability
  • Privacy-Preserving Technologies in Data
  • Caching and Content Delivery
  • Autonomous Vehicle Technology and Safety
  • Anomaly Detection Techniques and Applications
  • Cloud Computing and Resource Management

Recent publications by Kui Wu include:

  • HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Cloud Resource Scheduling With Deep Reinforcement Learning and Imitation Learning, 2020, IEEE Internet of Things Journal
  • FedNILM: Applying Federated Learning to NILM Applications at the Edge, 2022, IEEE Transactions on Green Communications and Networking
  • A Learning-Based Discretionary Lane-Change Decision-Making Model With Driving Style Awareness, 2022, IEEE Transactions on Intelligent Transportation Systems
  • Multi-Agent Learning-Based Optimal Task Offloading and UAV Trajectory Planning for AGIN-Power IoT, 2023, IEEE Transactions on Communications

Frequent co-authors who have collaborated with Wu include:

  • Guoming Tang
  • Jianping Wang
  • Deke Guo
  • Kejie Lu
  • Tongqing Zhou

Wu has contributed extensively to various publication venues. The most frequent venues include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Network Science and Engineering
  • IEEE Transactions on Vehicular Technology

Additionally, Kui Wu has authored work published by Springer Nature, including a book titled GreenEdge: New Perspectives to Energy Management and Supply in Mobile Edge Computing (2022).

Best Publications

  • An Energy-Efficient Data Collection Framework for Wireless Sensor Networks by Exploiting Spatiotemporal Correlation

    Chong Liu;Kui Wu;Jian Pei

  • Learning human–environment interactions using conformal tactile textiles

    Yiyue Luo;Yunzhu Li;Pratyusha Sharma;Wan Shou

  • Random coverage with guaranteed connectivity: joint scheduling for wireless sensor networks

    C. Liu;K. Wu;Y. Xiao;B. Sun

  • Lightweight deployment-aware scheduling for wireless sensor networks

    Kui Wu;Yong Gao;Fulu Li;Yang Xiao

  • Sensor localization with Ring Overlapping based on Comparison of Received Signal Strength Indicator

    Chong Liu;Kui Wu;Tian He

  • Battling the internet water army: detection of hidden paid posters

    Cheng Chen;Kui Wu;Venkatesh Srinivasan;Xudong Zhang

  • Analysis on the redundancy of wireless sensor networks

    Yong Gao;Kui Wu;Fulu Li

  • Security Vulnerabilities of Internet of Things: A Case Study of the Smart Plug System

    Zhen Ling;Junzhou Luo;Yiling Xu;Chao Gao

  • Radio frequency identification: technologies, applications, and research issues

    Yang Xiao;Senhua Yu;Kui Wu;Qiang Ni

  • Performance study of a multipath routing method for wireless mobile ad hoc networks

    Kui Wu;J. Harms

  • Alert aggregation in mobile ad hoc networks

    Bo Sun;Kui Wu;Udo W. Pooch

  • Load-sensitive routing for mobile ad hoc networks

    K. Wu;J. Harms

  • Secure data aggregation without persistent cryptographic operations in wireless sensor networks

    Kui Wu;Dennis Dreef;Bo Sun;Yang Xiao

  • Coverage and Detection of a Randomized Scheduling Algorithm in Wireless Sensor Networks

    Yang Xiao;Hui Chen;Kui Wu;Bo Sun

  • Energy-efficient cooperative routing in multi-hop wireless ad hoc networks

    F. Li;K. Wu;A. Lippman

  • Energy efficient information collection with the ARIMA model in wireless sensor networks

    Chong Liu;Kui Wu;Min Tsao

  • Anomaly Detection Based Secure In-Network Aggregation for Wireless Sensor Networks

    Bo Sun;Xuemei Shan;Kui Wu;Yang Xiao

  • GPU optimization of material point methods

    Ming Gao;Xinlei Wang;Kui Wu;Andre Pradhana

  • Cloud Resource Scheduling With Deep Reinforcement Learning and Imitation Learning

    Wenxia Guo;Wenhong Tian;Yufei Ye;Lingxiao Xu

  • Visual knitting machine programming

    Vidya Narayanan;Kui Wu;Cem Yuksel;James McCann

  • An Enhanced Fast Handover with Low Latency for Mobile IPv6

    Ruidong Li;Jie Li;Kui Wu;Yang Xiao

  • Enhancing security using mobility-based anomaly detection in cellular mobile networks

    Bo Sun;Fei Yu;Kui Wu;Yang Xiao

Frequent Co-Authors

Yang Xiao
Yang Xiao University of Alabama
Jianping Wang
Jianping Wang City University of Hong Kong
Kejie Lu
Kejie Lu University of Puerto Rico-Mayaguez
Yuming Jiang
Yuming Jiang Norwegian University of Science and Technology
Jian Pei
Jian Pei Duke University
Jie Li
Jie Li Shanghai Jiao Tong University
Xiaojiang Du
Xiaojiang Du Stevens Institute of Technology
Weijia Jia
Weijia Jia Beijing Normal University
Xinwen Fu
Xinwen Fu University of Massachusetts Lowell

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