CV

My academic and professional experience, including research positions, publications, and awards.

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General Information

Full Name Rui Li
Email liruivah@gmail.com
Languages English, Chinese (Mandarin)

Education

  • 2022 - Present
    PhD in Computer Science
    Northeastern University, Boston, MA, US
    • High Performance Computing Lab
    • Khoury College of Computer Science
    • Advisors
      • Prof. Gene Cooperman and Prof. Devesh Tiwari
    • Research
      • Serverless Computing
  • 2016 - 2019
    Master of Science in Computer Science
    Tsinghua University, Beijing, China
    • Department of Computer Science and Technology
    • Advisors
      • Prof. Shu-Tao Xia and Prof. Xi Xiao
    • Research
      • Network Traffic Classification
  • 2012 - 2016
    Bachelor of Science in Computer Science
    Nankai University, Tianjin, China
    • Computer Science and Technology
    • GPA
      • Top 5%

Experience

  • 2025 - Present
    Research Intern
    Bytedance Seed, Bellevue, WA
    • Research on detecting training stragglers in MoE and RL training
    • Reduced cold-start time by 50% through system-level optimizations
    • Experience with 10,000+ GPU clusters
  • 2022 - Present
    PhD Student
    Northeastern University, Boston, MA, US
    • High Performance Computing Lab
    • Research on Serverless Computing and Large-scale LLM Training
    • Checkpoint/Restore technologies for cold-start optimization
  • 2019 - 2021
    Algorithm Engineer II
    Alibaba Cloud, Hangzhou, China
    • Research on Automated Intelligent Healing
    • Project Owner for Cloud-Scale Data Centers
    • Machine Learning and AIOps Implementation
  • 2017 - 2019
    Research Assistant
    Tsinghua University, Beijing, China
    • Network Traffic Classification Research
    • Deep Learning and Neural Networks
    • Published multiple papers in top-tier venues

Research Projects

  • 2019 - 2021
    Automated Intelligent Healing for Cloud-Scale Data Centers
    • Research and engineering project at Alibaba Cloud
  • 2017 - 2019
    Network Traffic Classification Using Deep Neural Networks
    • Research project at Tsinghua University
  • 2018
    WeChat TOP STORIES Recommendation System Optimization
    • Collaborative project with Tencent WeChat

Honors and Awards

  • 2020
    • Best Newcomer Award of AIS, Alibaba Cloud
  • 2019
    • Excellent Graduate in Beijing City (top 2%)
    • Excellent Graduate of CS Department, Tsinghua University (top 10%)
  • 2018
    • Second-Class Scholarship, Tsinghua University (top 5%)
  • 2015
    • Honorable Mention, Mathematical Contest in Modeling (MCM)
    • Excellent Student of Nankai University
  • 2014
    • Gongneng Scholarship, Nankai University
    • Second Prize, Tianjin Mathematical Modeling Contest
  • 2013
    • Third-Class Scholarship, Nankai University (Top 5%)
    • Honorable Mention, Mathematical Contest in Modeling (MCM)

Research Interests

  • Serverless Computing
    • Checkpoint/Restore technologies
    • Cold-start optimization
    • Dependency sharing mechanisms
  • Large-Scale LLM Training
    • Initialization bottleneck analysis
    • Straggler detection in distributed training
    • Performance optimization for GPU clusters
  • AIOps and System Reliability
    • Machine Learning for System Maintenance
    • Automated Failure Detection and Recovery
    • Large-scale Infrastructure Management
  • Network Traffic Classification
    • Deep Learning Approaches
    • Real-time Network Analysis
    • Byte-level Processing

Technical Skills

  • Programming Languages
    • Python, C/C++, Java, SQL
  • Machine Learning & Frameworks
    • PyTorch, Megatron-LM, CUDA, NCCL
    • Checkpoint/Restore technologies (CRIU)
  • Cloud Computing
    • AWS, Alibaba Cloud, Docker, Kubernetes
  • Languages
    • Chinese (Native), English (Fluent), Japanese (JLPT N2)
  • Tools & Frameworks
    • Git, Linux, Foundation CSS