cv

Courageous Venture

General Information

Full Name Xinyu Fu
Languages Chinese, English
Skill Set Python, C/C++, Linux, LaTex, Markdown, PyTorch, DGL, TensorFlow

Academic Interests

  • Heterogeneous Graph Neural Networks
    • Developing GNN models for graphs with multiple node/edge types
  • Federated Graph Learning
    • Privacy-preserving graph representation learning in a system with multiple participants

Education

  • 2018 - 2024
    PhD in Computer Science
    The Chinese University of Hong Kong
    • Supervised by Prof. Irwin King
  • 2016 - 2018
    BSc in Computer Science
    The Chinese University of Hong Kong
    • GPA: 3.71/4.00
    • Graduated with First Class Honours
  • 2014 - 2016
    CUHK-SYSU Joint Engineering Undergraduate Programme
    Sun Yat-Sen University
    • GPA: 3.9/4.0

Work Experience

  • 2024/10 - now
    Research Engineer
    Huawei, Hong Kong
    • Research and development for Huawei's Xiaoyi AI virtual assistant
  • 2020/5 - 2020/11
    Applied Scientist Intern
    AWS, Shanghai
    • Drug Repurposing via Graph Representation Learning on Biomedical KG
  • 2018/5 - 2018/7
    Back-end Developer Intern
    Tencent, Shenzhen
    • Low-quality Web Novel Comments Filtering

Honors and Awards

  • 2019
    Best TA Award
    Department of Computer Science and Engineering, CUHK
  • 2018
    Dean's List
    Faculty of Engineering, CUHK
  • 2017
    ELITE Stream Student Scholarship
    Faculty of Engineering, CUHK
  • 2017
    Dean's List
    Faculty of Engineering, CUHK
  • 2016
    Honorable Mention
    The Mathematical Contest in Modeling

Talks

  • 2023
    AI for non-AI Researchers
    CUHK Library Research Computing Café
  • 2023
    Trustworthy Federated Learning: Concepts, Methods, Applications, and Beyond
    IJCNN 2023
  • 2023
    Heterogeneous Graph Neural Networks Recent Research Progress
    Learning on Graphs Seminar
  • 2022
    Deep Learning on Graphs
    DeepLearn 2022 Summer
  • 2020
    Deep Learning on Graphs: Methods and Applications
    ICONIP 2020

Services

  • Conference Reviewer
    • NeurIPS (2021), ICLR (2024, 2025), WWW (2022, 2023, 2024, 2025), KDD (2024), WSDM (2023), AAAI (2023, 2024, 2025), IJCAI (2025), ECML-PKDD (2023)
  • Journal Reviewer
    • AIJ, TKDE, TPAMI, TSE, TKDD, TNNLS, TCAD, TSC, NEUNET, PR, FGCS, TNSE

Teaching Experience

  • 2019/20/21/22
    CSCI2100A/ESTR2102 Data Structures
    The Chinese University of Hong Kong
    • Lead TA, responsible for some tutorials, the course website, and the online judge system
    • Taught by Prof. Irwin King
  • 2018/20
    CSCI3230/ESTR3108 Fundamentals of Artificial Intelligence
    The Chinese University of Hong Kong
    • TA, responsible for the TensorFlow tutorial and the project grading system
    • Taught by Prof. Kwong-Sak Leung
  • 2019
    ENGG5108 Big Data Analytics
    The Chinese University of Hong Kong
    • TA, responsible for the Python and R tutorials and the course website
    • Taught by Prof. Irwin King