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Achievement: Pull Sharkx2Achievement: Starstruck

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Achievement: Pull Sharkx2Achievement: Starstruck

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@SemBench

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SolidLao/README.md

Hi there 👋

I am Jiale Lao, a CS Phd student at Cornell University advised by Professor Immanuel Trummer.

I have published multiple papers in SIGMOD and VLDB conferences and received the SIGMOD Research Highlight Award 2024.

I am currently interested in leveraging advanced techniques from the Natural Language Processing field (e.g., Large Language Models) to enhance the efficiency, usability and generality of database systems:

  • Efficiency
    • GPTuner for system tuning (SIGMOD Research Highlight 🏆, VLDB 2024, SIGMOD Demo 2024 and Record 2025)
    • SQLBarber for SQL workload generation (SIGMOD 2026, SIGMOD Demo 2025)
    • QUITE for query rewrite (Under revision of SIGMOD 2026)
  • Generality
    • SemBench, a benchmark for semantic query processing engines (Conditional Accept to VLDB 2026)
  • Usability
    • ToxicSQL for Text-to-SQL model security (SIGMOD 2026)

You can find more about me in my website and google scholar.

💬 Feel free to reach out: jiale@cs.cornell.edu

Pinned Loading

  1. GPTuner GPTuner Public

    GPTuner is a manual-reading database tuning system leveraging domain knowlege automatically and extensively to enhance knob tuning process.

    Python 123 25

  2. SQLBarber SQLBarber Public

    SQLBarber is a system based on Large Language Models (LLMs) to generate customized and realistic SQL workloads.

    Python 11

  3. SemBench SemBench Public

    Forked from SemBench/SemBench

    Benchmarking Semantic Query Processing Engines

    Python

  4. ToxicSQL ToxicSQL Public

    Forked from isoflurane/ToxicSQL

    Python

  5. QUITE QUITE Public

    Forked from Yuyang-Song/QUITE

    QUITE: A query rewrite system beyond rules with LLM agents.

    Python