
About Me
I am a final-year master student at ShanghaiTech University advised by Prof. Ziping Zhao. Currently, I am also a research intern at Peking University (PKU). Previously, I received my B.Eng. degree from Wuhan University (WHU). During my undergraduate study, I spent a nice summer at City University of HongKong (CityU) as a visiting student.
My current research focuses on Graph Machine Learning.
I am excited to share that I will join the Intelligent Maintenance and Operations Systems (IMOS) Lab at École Polytechnique Fédérale de Lausanne (EPFL) as a PhD student in September!
News
- [Feb 2023] Our paper "Enhancing the Efficiency of WMMSE and FP for Beamforming by Minorization-Maximization" is accepted by ICASSP 2023.
- [Oct 2022] New preprint entitled "ASGNN: Graph Neural Networks with Adaptive Structure" has been released.
- [June 2022] New preprint entitled "Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective" has been released.
- [Dec. 2021] New preprint entitled "Rate Maximizations for Reconfigurable Intelligent Surface-Aided Wireless Networks: A Unified Framework via Block Minorization-Maximization" has been released.
- [Sep. 2021] Our paper has been selected as the Best Student Paper Award Finalist in IEEE SPAWC 2021!
- [July 2021] One paper has been accepted by SPAWC 2021.
- [May 2021] One paper has been accepted by SSP 2021.
- [Sep. 2020] Begin master study in SIST @ ShanghaiTech University.
- [Aug. 2020] One paper has been accepted by Asilomar 2020.
Education & Experiences
National Institute of Health Data Science, Peking University, Beijing, China
Feb. 2023 - PresentSchool of Information Science and Technology, ShanghaiTech University, Shanghai, China
Dec. 2019 - PresentDepartment of Measuring & Control Technology and Instrumentations, School of Electronic Information, Wuhan University, Wuhan, China
Sept. 2016 - June 2020Department of Electronic Engineering, College of Engineering, City Univercity of HongKong, HongKong
July 2019 - Sept. 2019
Preprints
ASGNN: Graph Neural Networks with Adaptive Structure
Zepeng Zhang, Songtao Lu, Zengfeng Huang, and Ziping Zhao
[paper]Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Zepeng Zhang and Ziping Zhao
[paper]Rate Maximizations for Reconfigurable Intelligent Surface-Aided Wireless Networks: A Unified Framework via Block Minorization-Maximization
Zepeng Zhang and Ziping Zhao
[paper]
Publications
Enhancing the Efficiency of WMMSE and FP for Beamforming by Minorization-Maximization
Zepeng Zhang, Ziping Zhao, and Kaiming Shen
ICASSP 2023
[paper]Designing Graph Neural Networks via Algorithm Unrolling
Zepeng Zhang and Ziping Zhao
DLG-KDD 2022Multi-Period Portfolio Optimization for Financial Index Tracking
Xiuyuan Huang, Zepeng Zhang and Ziping Zhao
Asilomar 2021
[paper]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
[paper]Vast Portfolio Selection With Submodular Norm Regularizations
Zepeng Zhang and Ziping Zhao
EUSIPCO 2021
[paper]Scalable Financial Index Tracking With Graph Neural Networks
Zepeng Zhang and Ziping Zhao
IEEE SSP 2021
[paper]A Deep Learning-Aided Approach to Portfolio Design for Financial Index Tracking
Zepeng Zhang and Ziping Zhao
Asilomar 2020
[paper]
Teaching
- Teaching Assistant for CS 182: Introduction to Machine Learning | 2021-22 Fall, ShanghaiTech.
- Teaching Assistant for SI 231: Matrix Analysis and Computations | 2020-21 Spring, 2021-2022 Spring, ShanghaiTech.
Awards & Honors
Contests
1st prize of 2018 RoboCup China Open 2018
1st prize of 2018 Asia and Pacific Mathematical Contest in Modeling 2018
3rd prize of 2018 The Chinese Robot Skills Competitions 2018
1st prize of 2017 The Chinese Mathematics Competitions, Hubei Prov. 2017
Scholarships
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
- Reviewer: Neurocomputing, TGL-NeurIPS 2022, AISTATS 2023, WWW 2023, IEEE MLSP 2023.
Personal
In my free time, I enjoy traveling, reading, swimming, guitar and hiphop music. Besides, I like watching TV shows (my favorites are Vikings, Breaking Bad, Prison Break, etc.).