World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7128
World Ranking
9692
National Ranking
4097

Electronics and Electrical Engineering

D-Index
39
Citations
7042
World Ranking
4656
National Ranking
1639

Overview

Kejie Lu is affiliated with the University of Puerto Rico-Mayaguez in the United States. Their research primarily falls within the fields of Computer Science and Engineering, with particular focus on subfields such as Artificial Intelligence, Computer Networks and Communications, Automotive Engineering, Aerospace Engineering, and Computer Vision and Pattern Recognition.

The scientist's work encompasses a range of topics including stochastic gradient optimization techniques, autonomous vehicle technology and safety, privacy-preserving technologies in data, UAV applications and optimization, distributed control multi-agent systems, cryptography and data security, and traffic control and management.

Frequent co-authors collaborating with Kejie Lu include Jianping Wang, Kui Wu, Junfei Xie, Yan Wan, and Shengli Fu. These collaborations suggest active involvement in collective research efforts over multiple projects.

Kejie Lu has published extensively in several venues. The most frequent publication platforms include:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Network Science and Engineering
  • IEEE Transactions on Cloud Computing
  • IEEE Transactions on Vehicular Technology
  • arXiv (Cornell University)

Notable recent papers feature:

  • "HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "FedDetect: A Novel Privacy-Preserving Federated Learning Framework for Energy Theft Detection in Smart Grid," 2021, IEEE Internet of Things Journal
  • "A Learning-Based Discretionary Lane-Change Decision-Making Model With Driving Style Awareness," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "GSAN: Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving," 2021, IEEE Internet of Things Journal
  • "AoI-centric Task Scheduling for Autonomous Driving Systems," 2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Best Publications

  • A Survey on Platoon-Based Vehicular Cyber-Physical Systems

    Dongyao Jia;Kejie Lu;Jianping Wang;Xiang Zhang

  • HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

    Unknown

  • An intelligent SDN framework for 5G heterogeneous networks

    Songlin Sun;Liang Gong;Bo Rong;Kejie Lu

  • Call Admission Control Optimization in WiMAX Networks

    Bo Rong;Yi Qian;Kejie Lu;Hsiao-Hwa Chen

  • Coherent and incoherent crosstalk in WDM optical networks

    Yunfeng Shen;Kejie Lu;Wanyi Gu

  • A framework for a distributed key management scheme in heterogeneous wireless sensor networks

    Kejie Lu;Yi Qian;M. Guizani;Hsiao-Hwa Chen

  • A framework for distributed key management schemes in heterogeneous wireless sensor networks

    K. Lu;Y. Qian;J. Hu

  • Integrated Downlink Resource Management for Multiservice WiMAX Networks

    Bo Rong;Yi Qian;Kejie Lu

  • Analysis of blocking probability for distributed lightpath establishment in WDM optical networks

    Kejie Lu;Gaoxi Xiao;Imrich Chlamtac

  • Closed-form designs of complex orthogonal space-time block codes of rates (k+1)/(2k) for 2k-1 or 2k transmit antennas

    Kejie Lu;Shengli Fu;Xiang-Gen Xia

  • Cloud-Assisted Safety Message Dissemination in VANET–Cellular Heterogeneous Wireless Network

    Bingyi Liu;Dongyao Jia;Jianping Wang;Kejie Lu

  • FedDetect: A Novel Privacy-Preserving Federated Learning Framework for Energy Theft Detection in Smart Grid

    Mi Wen;Rong Xie;Kejie Lu;Liangliang Wang

  • Performance Analysis of IEEE 802.11 DCF in Imperfect Channels

    Yu Zheng;Kejie Lu;Dapeng Wu;Yuguang Fang

  • Robust and efficient detection of DDoS attacks for large-scale internet

    Kejie Lu;Dapeng Wu;Jieyan Fan;Sinisa Todorovic

  • WIRELESS BROADBAND ACCESS: WIMAX AND BEYOND - A Secure and Service-Oriented Network Control Framework for WiMAX Networks

    Kejie Lu;Yi Qian;Hsiao-Hwa Chen

  • MAGIC: A distributed MAx-Gain In-network Caching strategy in information-centric networks

    Jing Ren;Wen Qi;Cedric Westphal;Jianping Wang

  • A Disturbance-Adaptive Design for VANET-Enabled Vehicle Platoon

    Dongyao Jia;Kejie Lu;Jianping Wang

  • Performance Analysis of Wireless Sensor Networks With Mobile Sinks

    Wang Liu;Kejie Lu;Jianping Wang;Guoliang Xing

  • A Secure VANET MAC Protocol for DSRC Applications

    Yi Qian;Kejie Lu;N. Moayeri

  • Shared fiber delay line buffers in asynchronous optical packet switches

    T. Zhang;K. Lu;J.R. Jue

  • A Secure and Service-Oriented Network Control Framework for WiMAX Networks

    Kejie Lu;Yi Qian;Hsiao-Hwa Chen

  • WiMAX networks: from access to service platform

    Kejie Lu;Yi Qian;Hsiao-Hwa Chen;Shengli Fu

Frequent Co-Authors

Jianping Wang
Jianping Wang City University of Hong Kong
Yi Qian
Yi Qian University of Nebraska–Lincoln
Dapeng Wu
Dapeng Wu City University of Hong Kong
Jason P. Jue
Jason P. Jue The University of Texas at Dallas
Yan Wan
Yan Wan The University of Texas at Arlington
Gaoxi Xiao
Gaoxi Xiao Nanyang Technological University
Imrich Chlamtac
Imrich Chlamtac European Alliance for Innovation
Yuguang Fang
Yuguang Fang City University of Hong Kong
Hsiao-Hwa Chen
Hsiao-Hwa Chen National Cheng Kung University
Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York

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