Ran Zhu (朱然)

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I am a PhD student supervised by Dr. Qing Wang and Dr. Marco Antonio Zúñiga Zamalloa at the Embedded Systems (ES) group, faculty of EEMCS, Delft University of Technology (TU Delft), the Netherlands. I also work very colsely with Dr. Jie Yang.

My research interest lies in combining AI techniques and edge computing to develop robust and trustworthy intelligent systems to solve practical problems in a collaborative, secure, and ubiquitous manner.

news

Apr 17, 2024 Our paper entitled “ShuffleFL: Addressing heterogeneity in multi-device federated learning” has been accepted to appear in ACM IMWUT 2024.
Jan 25, 2024 Honored to be selected to take part in the Advanced Digital Technologies International Student Workshop in Barcelona!
Jan 16, 2024 Our paper FedTrans is accepted by ICLR’24.
Oct 18, 2023 A magazine paper is accepted by IEEE Communications Magazine.
Jun 01, 2023 Our paper FedNaWi is accepted by IEEE SECON’23.
Jul 04, 2022 Received the ACM SIGCOMM’22 Student Travel Grant.

selected publications

  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
  4. 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
  5. 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
  6. 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
  7. 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