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MPX0222/README.md

Peixian Ma, Researcher at Paradoox AI Research, M.Phil. at HKUST(GZ)

Homepage GitHub Google Scholar LinkedIn Resume

I am committed to exploring the application of simple and efficient artificial intelligence algorithms in various fields. My research interest comprises:

  • AI for Database (e.g., Natural Language to SQL, ChatBI)
  • AI for Finance (e.g., Evalution of Financial LLMs, Next-Generation Agentic Finance)
  • Reasonable and Efficient Agent System (e.g., Cross-Environment Agentic Reasoning, Latent Space Agent)
  • Large Language Models (e.g., Efficient Reinforcement Learning, Diffusion Language Models).

Feel free to contact me if you are interested in these topics.

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  1. DataArcTech/SQL-R1 DataArcTech/SQL-R1 Public

    [NeurIPS'25] Official Repository for the Paper "SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning"

    Python 151 20

  2. 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 1.6k 95

  3. ParadooxAI/TradeLens ParadooxAI/TradeLens Public

    [EMNLP'26 Findings] Official Repository for the Paper "Can Agentic Trading Systems Pay for Their Own Intelligence?"

    Python 7 3

  4. VisualConcepts4CL VisualConcepts4CL Public

    [BIBM'25] Official Repository for the Paper "Augmenting Continual Learning of Diseases with LLM-Generated Visual Concepts"

    Python 4 1