I'm

WANG, Shijie

PhD Candidate, Recommender System , Graph Neural Network , Research Assistant

About

About Me

I am a PhD Candidate in the department of Computing of The Hong Kong Polytechnic University (PolyU), where I am fortunate to be advised by Assistant Professor Fan Wenqi and IEEE fellow Qing Li.

I got BSc degree in Information and Computing Science from Xi’an Jiaotong-Liverpool University in China and the University of Liverpool in the UK in July, 2022.

I am now working on Robustness and Graph Neural Networks as well as their applications in recommender systems.

Name: Shijie WANG (SJAY)
Birthday: Sep 1999
Degree: PhD Candidate
Email: shijie.wang(at)connect.polyu.hk
Address: Hung Hom, Hong Kong, China

Quality

Education & Expericence

My Education

Doctor of Philosophy in Computing

The Hong Kong Polytechnic University | 2022 - 2026

Research Interest: Robustness and Graph Neural Networks as well as their applications in recommender systems.

BSc Information and Computing Science

Xi'an Jiaotong-Liverpool University & University of liverpool | 2018 - 2022

Grade: First Class (Honours)

Notable Modules: Advanced OO Programming, Software Engineering, Bio-Computation, Machine Learning, Multi-Agent Systems, Principles of Computer Games Design, Data Structures, Complexity of Algorithms, Computer Systems Security.

Explanation: Xi'an Jiaotong-Liverpool University (XJTLU) is an international joint-venture university founded by Xi’an Jiaotong University in China and the University of Liverpool in the UK. Thus, undergraduate students earn two degrees: an XJTLU degree from the Chinese Ministry of Education and a globally recognised degree from the University of Liverpool.

My Expericence

Research Assistant

The Hong Kong Polytechnic University | Sept 2022 - Now

Towards interactions between adversarial robustness and fairness for trustworthy graph neural networks.

Algorithm implementation and paper writing.

Research Assistant

Xi'an Jiaotong-Liverpool University | June 2021 - Apri 2022

Traffic Signal Controller Design by using multi-agent Reinforcement Learning approach.

This project focuses on desiging traffic signal controller by using multi-agent reinforcement learning approach.

This project has been published in PerCom2023.

Computer Programmer Intern

Yinglink Technology (Beijing) Co., Ltd. | June 2019 - Sep 2019

Completed development, testing and maintenance tasks in accordance with the design documentation and as stipulated.

Assisted in the software development process by maintaining the database, analyzing and resolving data issues.

Skill

My Skills

Java
80%
C/C++
50%
Writing
75%
Mandarin
95%
Python
90%
Unity
80%
Research Passion
100%
English
75%

Research

Publications & Tutorials & Reviewer

Publications

Tutorials

Professional Services & Activities

Program Committee

  • 2024 SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  • 2024 The Association for the Advancement of Artificial Intelligence (AAAI)
  • 2024 Transactions on Knowledge Discovery from Data (TKDD)
  • 2024 ICDM workshop Machine Learning on Graphs (ICDM MLoG)

Reviewer

  • 2023 The Association for the Advancement of Artificial Intelligence (AAAI)
  • 2023 SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  • 2023 The Web Conference (WWW)
  • 2023 Web Search and Data Mining (WSDM)
  • 2023 IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • 2022 Information and Knowledge Management (CIKM)
  • 2022 Learning on Graphs Conference (LOG)

Teaching Assistant (TA) at PolyU:

  • COMP3511: Legal Aspects and Ethics of Computing, Spring’2024
  • COMP5511: Artificial Intelligence Concepts, Fall’2023
  • News

    Recent News

    2023

    2022

    • Continue Mphil studies at The Hong Kong Polytechnic University under the supervision of Dr.Fan Wenqi.
    • Graduated from the Liverpool University.