Zepeng Zhang

Master Student at ShanghaiTech

Email (zhangzp1 [AT] shanghaitech.edu.cn) Wechat (zpzhang717)

[CV]

About Me

I am a final-year master student at ShanghaiTech University advised by Prof. Ziping Zhao. 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 and Optimization.

I am looking for a Ph.D. position starting from 2023 Fall. Please fell free to contact me!

News

• [June 2022] New preprint entitled "Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective" has been released.
• [June 2022] Our work "Designing Graph Neural Networks via Algorithm Unrolling" is accepted by KDD Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD’22).
• [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 Asilomar 2021.
• [July 2021] One paper has been accepted by SPAWC 2021.
• [May 2021] One paper has been accepted by SSP 2021.
• [May 2021] One paper has been accepted by EUSIPCO 2021.
• [Sep. 2020] Begin master study in SIST @ ShanghaiTech University.
• [Aug. 2020] One paper has been accepted by Asilomar 2020.

Education & Experiences

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

• 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 Univercity of HongKong, HongKong
  July 2019 - Sept. 2019

Publications

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

• Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
  Zepeng Zhang and Ziping Zhao
  Submitted to IEEE Transactions on Signal Processing
  [paper]

• Rate Maximizations for Reconfigurable Intelligent Surface-Aided Wireless Networks: A Unified Framework via Block Minorization-Maximization
  Zepeng Zhang and Ziping Zhao
  Submitted to IEEE Transactions on Signal Processing
  [paper]

• Designing Graph Neural Networks via Algorithm Unrolling
  Zepeng Zhang and Ziping Zhao
  DLG-KDD 2022

• Multi-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

• 1^st prize of 2018 RoboCup China Open 2018

• 1^st prize of 2018 Asia and Pacific Mathematical Contest in Modeling 2018

• 3^rd prize of 2018 The Chinese Robot Skills Competitions 2018

• 1^st prize of 2017 The Chinese Mathematics Competitions, Hubei Prov. 2017

Scholarships

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

• SAMSUNG Scholarship (Top 1%, Rank 1^st 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.

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.).