Ran Zhu (朱然)

Ran Zhu (朱然)

PhD student

Delft University of Technology

About me

I am a PhD student supervised by Dr. Qing Wang and Dr. Marco Antonio Zúñiga Zamalloa at the Embedded System (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.

Interests

  • Embedded AI for IoT
  • Federated Learning & Edge Computing
  • Indoor Positioning

Education

  • MEng in Communication and Information System, 2021

    University of Electronic and Scientific Technology of China (UESTC)

  • BEng in Communication Engineering, 2018

    Jilin University (JLU)

News

  • [01/2024] Our paper FedTrans is accepted by ICLR'24
  • [10/2023] A magazine paper is accepted by IEEE Communications Magazine
  • [06/2023] Our paper FedNaWi is accepted by IEEE SECON'23
  • [08/2022] Received the ACM SIGCOMM'22 Student Travel Grant

Publications

Quickly discover relevant content by filtering publications.

Centimeter-Level Indoor Visible Light Positioning

Visible light positioning (VLP) based on the received signal strength (RSS) can leverage a dense deployment of LEDs in future lighting …
Ran Zhu, Maxim Van den Abeele, Jona Beysens, Jie Yang, and Qing Wang
IEEE
Centimeter-Level Indoor Visible Light Positioning

FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications

Federated Learning (FL) is an important privacy-preserving learning paradigm that is expected to play an essential role in the future …
Ran Zhu, Mingkun Yang, Jie Yang, and Qing Wang
IEEE
FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications

ContextAVO: Local Context Guided and Refining Poses for Deep Visual Odometry

Learning-based monocular visual odometry (VO) has lately drawn significant attention for its robustness to camera parameters and …
Song Rujun, Ran Zhu, Zhuoling Xiao, and Bo Yan
ELSEVIER
ContextAVO: Local Context Guided and Refining Poses for Deep Visual Odometry

DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry

Inertial navigation system (INS) is a practical method for indoor pedestrian navigation without pre-installation of infrastructure. Based on the …
Ran Zhu, Mingkun Yang, Wang Liu, Rujun Song, Zhuoling Xiao, Bo Yan
ELSEVIER
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry

Symmetrical-Net: Adaptive Zero Velocity Detection for ZUPT-Aided Pedestrian Navigation System

Inertial navigation system (INS) is a practical method for indoor pedestrian navigation without pre-installation of infrastructure. Based on the fundamentals …
Mingkun Yang, Ran Zhu, Zhuoling Xiao, Bo Yan
IEEE Xplore
Symmetrical-Net: Adaptive Zero Velocity Detection for ZUPT-Aided Pedestrian Navigation System
See all publications

Awards

  • SIGMobile Student Travel Grant, ACM SIGCOMM 2022
  • Outstanding Graduates of Sichuan Province, 2021
  • Outstanding Graduates of UESTC, 2021
  • Excellent Competition Team of UESTC, 2021
  • First Price in China Graduate Electronics Design Contest (Top 1%), 2020
  • “Guorui” Scholarship, 2020
  • Gold award in China College Students Internet + Innovation and Entrepreneurship Competition (Sichuan district competition), 2020
  • Silver Award of Sichuan Province in “Challenge Cup” Agriculture Bank of China College Student Business Plan Competition, 2020
  • National Scholarship of China (Top 1%), 2019
  • UESTC First-class Scholarship for new graduate student, 2018
  • First-class academic scholarship, 2018-2020
  • Outstanding Student Awards of UESTC, 2018-2021

Contact

  • ranzhuzr@gmail.com
  • Van Mourik Broekmanweg 6, Delft, 2628XE
  • Enter Building 28 and take the stairs to Office 2.W.920 on Floor 2