CV

Contact

Name Yifan Yang
Title Research Assistant | M.Sc. in Artificial Intelligence and Robotics
Email yifanyang6@link.cuhk.edu.cn
Location Shenzhen
Website yifanyang6.github.io
Profiles GitHub · ORCID · Google Scholar

Summary

Research assistant advised by Prof. Pinjia He and M.Sc. student working at the intersection of AI for Software Engineering and AIOps, with a focus on microservice diagnostics, observability, fault injection, and LLM-based RCA agents.

Experience

  • Aug 2024 - Present

    Shenzhen

    Research Assistant
    The Chinese University of Hong Kong, Shenzhen
    • Work under the supervision of Prof. Pinjia He at the School of Data Science.
    • Conduct research in AI for Software Engineering and AIOps, with an emphasis on microservice diagnostics, root cause analysis, observability, and fault-propagation-aware evaluation.
    • Contribute to end-to-end research workflows across multiple projects, including system implementation, telemetry and data collection, fault injection, system integration, baseline reproduction, and performance evaluation.
    • Help maintain lab computing and networking infrastructure, including CPU clusters, GPU resources, Kubernetes environments, PVE virtualization, and OpenWrt-based networking.
    • Designed fault-injection campaigns, improved observability integration across microservice systems, contributed to dataset organization, and wrote related sections for OpenRCA 2.0 and RCA benchmark research.
    • First author of Gleaner, published at ISSTA’26.

Education

  • Sep 2024 - Present

    Shenzhen

    M.Sc.
    The Chinese University of Hong Kong, Shenzhen
    Artificial Intelligence and Robotics
    • School of Data Science.
  • Sep 2019 - Jun 2023

    Jinan

    B.Mgt.
    Shandong University
    Industrial Engineering
    • Training in systems thinking, optimization, and engineering practice.

Publications

* Corresponding author

Awards

  • 2026
    Outstanding Academic Scholarship

    CUHK-Shenzhen MAIR, 13 October 2026.

Service

  • Artifact Evaluation Program Committee, ASPLOS 2027
  • Artifact Evaluation Program Committee, ACM SOSP 2026
  • Artifact Evaluation Program Committee, ACM CCS 2026
  • Artifact Evaluation Program Committee, NDSS 2027

Projects

  • Gleaner — Diagnosis-oriented online trace sampling for microservice observability. [GitHub]
  • chaos-experiment — Fault injection tooling for controlled microservice RCA evaluation. [GitHub]
  • Aegis — Experiment tooling and systems engineering workspace for AIOps research. [GitHub]

Skills

Research Areas: Intelligent Software Engineering (AI4SE), AIOps, intelligent observability, LLM-based and multi-modal RCA, fault injection benchmarks
Systems: Linux, Docker, Kubernetes, Helm, Skaffold, OpenTelemetry, Jaeger, PVE, OpenWrt
AI-assisted Development: Codex, Claude Code, Git, LaTeX, research automation workflows
ML and LLM: PyTorch, vLLM, LLM fine-tuning, inference optimization
Languages: Chinese (Native), English (IELTS 6.5)