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BugMaker-Boyan/README.md

Boyan Li

Email Website CV GitHub Google%20Scholar X

👤 About Me

I am a PhD student at HKUST (Guangzhou), advised by Prof. Yuyu Luo. Previously, I worked with Prof. Guoliang Li at Tsinghua University and completed my bachelor's degree at SUSTech.

🔍 Research Focus

  • Text-to-SQL: making natural language-to-query systems more reliable and interpretable.
  • Data Agents: designing agents that automate query, analysis, and visualization workflows.
  • Practical Data Intelligence: building systems from benchmarked methods to real-world workflows.

🧪 What I am building now

  • Language + data pipelines that stay stable under ambiguous user questions.
  • Open, reproducible research tooling for data-related tasks.
  • Collaborative prototypes for autonomous data workflows and SQL systems.

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  1. HKUSTDial/DeepEye-SQL HKUSTDial/DeepEye-SQL Public

    🔥[SIGMOD'26] Official repository for the paper "DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework"

    Python 49 3

  2. HKUSTDial/DPC HKUSTDial/DPC Public

    🔥[ACL'26 (Main)] Official repository for the paper "DPC: Training-Free Text-to-SQL Candidate Selection via Dual-Paradigm Consistency"

    Python 12 1

  3. HKUSTDial/Alpha-SQL HKUSTDial/Alpha-SQL Public

    🔥[ICML'25] Official repository for the paper "Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search"

    Python 157 19

  4. HKUSTDial/NL2SQL360 HKUSTDial/NL2SQL360 Public

    🔥[VLDB'24] Official repository for the paper “The Dawn of Natural Language to SQL: Are We Fully Ready?”

    Python 140 16

  5. HKUSTDial/awesome-data-agents HKUSTDial/awesome-data-agents Public

    Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?"

    Python 524 36

  6. HKUSTDial/NL2SQL_Handbook HKUSTDial/NL2SQL_Handbook Public

    This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners.

    Python 1.4k 85