Feng Yu's Academic Blog

Existence precedes essence, exploration drives growth

Hi, I am 冯宇, a researcher focused on Data Science and Artificial Intelligence.

🎓 Research Areas

• Probabilistic Graphical Models - Dynamic Uncertain Causality Graph (DUCG) modeling and inference
• Machine Learning - Deep learning and reinforcement learning algorithms
• Data Analysis - Causal inference, statistical modeling, and business analytics
• Intelligent Algorithms - Swarm intelligence optimization and game theory applications

🔬 Academic Achievements

• Research on Dynamic Uncertain Causality Graph theory and multi-domain applications
• Innovative applications of deep reinforcement learning in game AI
• Research on explainable machine learning methods
• Practical applications of causal inference frameworks in business

💻 Technical Projects

• Alpha Zero Gomoku AI - Game AI system based on deep reinforcement learning
• Texas Hold'em Battle System - Intelligent game system using CFR algorithm
• Data Analysis Platform - Collection of data analysis cases across multiple industries
• SHAP Explainability Tool - Framework for machine learning model interpretability

�️ Tech Stack

Programming: Python, R, JavaScript, SQL

ML/DL: TensorFlow, PyTorch, Scikit-learn, XGBoost

Data Tools: Pandas, NumPy, Matplotlib, Seaborn, Plotly

Causal Inference: DoWhy, YLearn, CausalML

Others: Git, Docker, Jupyter, VS Code

🎯 Research Interests

I am committed to combining theoretical research with practical applications, particularly focusing on:

• Applications of probabilistic graphical models in complex system modeling
• Value of causal inference methods in business decision-making
• Explainability of deep learning and trustworthy AI
• Landing applications of reinforcement learning in real scenarios

📫 Contact

• Email: 1160337988@qq.com
• Zhihu: Academic Exchange
• GitHub: Code Sharing