Zepeng Zhang

PhD Student at EPFL


About Me

I am a PhD student at École Polytechnique Fédérale de Lausanne (EPFL). I work in the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink. Previously, I received my master's degree at ShanghaiTech University and B.Eng. degree from Wuhan University (WHU). I also had the opportunity to visit Peking University (PKU) and City University of HongKong (CityU) as a research intern.

My current research focuses on Graph Machine Learning and Algorithmic Reasoning.


Education & Experiences

  • Electrical Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
    Sep. 2023 -

  • National Institute of Health Data Science, Peking University, Beijing, China
    Feb. 2023 - April 2023

  • School of Information Science and Technology, ShanghaiTech University, Shanghai, China
    Dec. 2019 - June 2023

  • Department of Measuring & Control Technology and Instrumentations, School of Electronic Information, Wuhan University, Wuhan, China
    Sept. 2016 - June 2020

  • Department of Electronic Engineering, College of Engineering, City University of HongKong, HongKong
    July 2019 - Sept. 2019

Selected Publications

  • ASGNN: Graph Neural Networks with Adaptive Structure
    Zepeng Zhang, Songtao Lu, Zengfeng Huang, and Ziping Zhao

  • Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications
    Zepeng Zhang, Ziping Zhao, Kaiming Shen, Daniel P. Palomar, and Wei Yu

  • Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach
    Zepeng Zhang and Ziping Zhao
    IEEE SPAWC 2021 (Best Student Paper Award Finalist)


Awards & Honors



  • Yu Gang Scholarship (Top 1%, Rank 1st out of the department), WHU, 2018-19

  • SAMSUNG Scholarship (Top 1%, Rank 1st out of the department), WHU, 2017-18

  • The First Prize Scholarship (Top 5%), WHU, 2017-18, 2018-19

  • The Second Prize Scholarship (Top 15%), WHU, 2016-17

Academic Service

  • Conference Reviewer: AISTATS 2024,2023; WWW 2023; ICASSP 2024; IEEE MLSP 2023; TGL-NeurIPS 2023,2022.
  • Journal Reviewer: IEEE Open Journal of Signal Processing, Neurocomputing.


In my free time, I enjoy traveling, reading, practicing guitar, and hip-hop music. Besides, I like watching TV shows (my favorites are Vikings, Breaking Bad, Prison Break, etc.).

Last Updated: 4/10/2024, 2:39:16 PM