Guangyu Hou

Researcher in FinTech & Machine Learning

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I am a researcher holding a Master of Finance (Big Data & FinTech) from the University of Science and Technology of China. My work focuses on applying machine learning methods to financial markets, with particular interest in reinforcement learning for trading and NLP-driven market analysis.

Research Interests

  • Reinforcement Learning in Finance — Designing adaptive trading agents using deep RL methods (PPO, Actor-Critic) for real-world market decision-making.
  • Machine Learning for Financial Analytics — Applying learning algorithms to financial data for risk assessment, asset pricing, and predictive modeling.
  • NLP for Financial Markets — Leveraging large language models to extract sentiment signals from financial news at scale.

Education

  • M.Fin (Big Data & FinTech), University of Science and Technology of China
  • B.B.A (Management Information Systems)
  • B.Sc (Economic Statistics)

Selected Publications

  1. Problems and Countermeasures of Industrial Investment Funds in China’s New Economic Phase
    Guangyu Hou
    Journal of Regional Financial Research, 2020
  2. Research on the Influencing Factors of Subsidy Thresholds for Government-Guided Venture Capital Funds
    Zhiying Liu, Guangyu Hou, and Hongfang Mo
    Review of Investment Studies (CSSCI), 2021

Recent Updates

Apr 08, 2026 Redesigned academic homepage with a clearer research focus on RL, ML, and NLP in financial markets.