CV

Contact Information

Name Jinjie Liu
Professional Title Ph.D. Student
Email sgjzfzzf@gmail.com
Location Hong Kong SAR, China
Website https://sgjzfzzf.github.io/

Professional Summary

Ph.D. student in Computer Science and Engineering at The Chinese University of Hong Kong, working on AI infrastructure and the optimization of domain-specific languages such as Triton.

Experience

  • 2025 - 2026

    Beijing, China

    Compiler Engineer
    Beijing Academy of Artificial Intelligence (BAAI)
    Maintained FlagGems and FlagTree, BAAI’s open-source Triton operator library and compiler projects.
  • 2024 - 2025

    Riverside, California

    Research Assistant
    Collaborative Intelligence Systems Lab, University of California, Riverside
    Accelerating model inference on CPU, advised by Prof. Hang Qiu.
  • 2023 - 2023

    Beijing, China

    Software Engineer Intern
    Momenta
    Working on accelerating the model inference on different car platforms and developing the corresponding testing tools.
  • 2023 - 2023

    Shanghai, China

    Software Engineer Intern
    NaiveSystems
    Contributing to the development of a static code analyzer based on LLVM.
  • 2022 - 2023

    Shanghai, China

    Research Assistant
    Lab of Cryptology and Computer Security (LoCCS), Shanghai Jiao Tong University
    Graduation Thesis: “CPU-FPGA TEE: Research on Heterogeneous Trusted Executable Environments Across Devices”

Education

  • 2026 - present

    Hong Kong SAR, China

    Ph.D.
    The Chinese University of Hong Kong
    Computer Science and Engineering
  • 2024 - 2025

    Los Angeles, California

    Master of Science
    University of Southern California
    Computer Science
  • 2019 - 2023

    Shanghai, China

    Bachelor of Engineering
    Shanghai Jiao Tong University
    Information Security
  • 2022 - 2022

    Austin, Texas

    Exchange Student
    University of Texas at Austin
    Computer Science

Skills

Programming: C/C++, Python, Rust, Go, Java, JavaScript, Haskell
Compilers and Systems: LLVM/MLIR, Triton, CUDA, PyTorch, Linux

Languages

Chinese : Native speaker
English : Fluent

Interests

Research Interests: AI Infrastructure, Domain-Specific Languages (Triton), Deep Learning Compilers, Machine Learning Systems

Projects

  • FlagGems

    High-performance general operator library implemented in OpenAI Triton.

  • FlagTree

    Unified Triton-based compiler supporting multiple AI chips.