Zepeng Zhang now is a Ph.D. student at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. Previously, he received his master degree (with honors) from ShanghaiTech University and bachelor degree (with honors) from Wuhan University. He also had the opportunity to visit Peking University and City University of Hong Kong as a research intern.

To get more recent info about him, please visit zepengzhang.com.

At the DSAI lab, Zepeng has primarily focused his research on two key areas: graph signal processing (an optimization perspective to comprehend and design graph neural networks) and communication signal processing (nonconvex optimization for rate maximization problems).

optimization induced graph neural networks

• Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
  Zepeng Zhang, Ziping Zhao
  Short version:
  Designing Graph Neural Networks via Algorithm Unrolling
  Zepeng Zhang and Ziping Zhao
  International Workshop on Deep Learning on Graphs (DLG), 2022

• Graph Neural Networks with Adaptive Structures Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao
  Short version:
  Graph Neural Networks with Adaptive Structures
  Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao
  Graph Signal Processing Workshop (GSP), 2024

• A Joint Graph Signal and Laplacian Denoising Network
  Zepeng Zhang, Ziping Zhao
  Asia-Pacific Signal and Information Processing Conference, 2024.

optimization for nonconvex beamforming

• Rate Maximizations for RIS-Aided Wireless Networks: A Unified Framework via Block Minorization-Maximization
  Zepeng Zhang, Ziping Zhao
  Short version:
  Weighted Sum-Rate Maximization for Multi-Hop RIS-Aided Multi-User Communications: A Minorization-Maximization Approach
  [Best Student Paper Award Finalist]
  Zepeng Zhang, Ziping Zhao
  IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021

• Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms Zepeng Zhang, Ziping Zhao, Kaiming Shen, Daniel P. Palomar, Wei Yu
  Short version:
  Enhancing the Efficiency of WMMSE and FP for Beamforming by Minorization-Maximization
  Zepeng Zhang, Ziping Zhao, Kaiming Shen
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

• Accelerating Quadratic Transform and WMMSE
  Kaiming Shen, Ziping Zhao, Yannan Chen, Zepeng Zhang, Hei Victor Cheng
  Short version:
  Accelerating Quadratic Transform and WMMSE
  Kaiming Shen, Ziping Zhao, Yannan Chen, Zepeng Zhang, Hei Victor Cheng
  IEEE International Symposium on Information Theory (ISIT), 2024

others

• Multi-Period Portfolio Optimization for Index Tracking in Finance
  Xiuyuan Huang, Zepeng Zhang, Ziping Zhao
  Short version:
  Multi-Period Portfolio Optimization for Index Tracking in Finance
  Xiuyuan Huang, Zepeng Zhang, Ziping Zhao
  Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), 2020

• Vast Portfolio Selection With Submodular Norm Regularizations
  Zepeng Zhang, Ziping Zhao
  European Signal Processing Conference (EUSIPCO), 2021

• Scalable Financial Index Tracking with Graph Neural Networks
  Zepeng Zhang, Ziping Zhao
  IEEE Statistical Signal Processing Workshop (SSP), 2021

• A Deep Learning-Aided Approach to Portfolio Design for Financial Index Tracking
  Zepeng Zhang, Ziping Zhao
  Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), 2020