publications

2024

  1. IMWUT’24
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    ShuffleFL: Addressing heterogeneity in multi-device federated learning
    Ran Zhu, Mingkun Yang, and Qing Wang
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2024
  2. ICLR’24
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    FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
    Mingkun Yang*Ran Zhu*, Qing Wang, and Jie Yang
    In The Twelfth International Conference on Learning Representations (ICLR), 2024
  3. Communications Mag.
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    Centimeter-Level Indoor Visible Light Positioning
    Ran Zhu, Maxim Abeele, Jona Beysens, Jie Yang, and Qing Wang
    IEEE Communications Magazine, 2024

2023

  1. SECON’23
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    FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications
    Ran Zhu, Mingkun Yang, Jie Yang, and Qing Wang
    In 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2023
  2. Neurocomputing
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    ContextAVO: Local context guided and refining poses for deep visual odometry
    Rujun Song, Ran Zhu, Zhuoling Xiao, and Bo Yan
    Neurocomputing, 2023

2022

  1. Neurocomputing
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    ContextAVO: Local context guided and refining poses for deep visual odometry
    Ran Zhu, Mingkun Yang, Wang Liu, Rujun Song, Bo Yan, and 1 more author
    Neurocomputing, 2022
  2. Sensors Journal
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    Symmetrical-Net: Adaptive zero velocity detection for ZUPT-aided pedestrian navigation system
    Mingkun Yang, Ran Zhu, Zhuoling Xiao, and Bo Yan
    IEEE Sensors Journal, 2022

2019

  1. IEEE Access
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    Efficient Human Activity Recognition Solving the Confusing Activities Via Deep Ensemble Learning
    Ran Zhu, Zhuoling Xiao, Ying Li, Mingkun Yang, Yawen Tan, and 3 more authors
    IEEE Access, 2019