Mr. Ziyang Cao | Machine Learning and AI Applications | Best Researcher Award

Fuyang Normal University | China

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👤 Summary

Ziyang Cao is a passionate and dedicated graduate student currently pursuing a Master of Engineering in Computer Technology at Fuyang Normal University. With a keen interest in artificial intelligence, he focuses on Few-Shot Learning to develop models that perform effectively with limited data.

🎓 Education

Ziyang is enrolled in the Master of Engineering in Computer Technology program at Fuyang Normal University (West Lake Campus), where he is building a strong foundation in both theoretical and applied computer science.

💼 Professional Experience

Currently focused on academic research, Ziyang has been involved in collaborative university projects and continues to seek opportunities to apply his knowledge in real-world settings. (Further experience can be added as it becomes available.)

📚 Academic Citations

Ziyang is actively engaged in preparing research papers related to Few-Shot Learning and aims to contribute to peer-reviewed publications in the near future.

🧠 Technical Skills

His technical toolbox includes proficiency in Python and Java, with hands-on experience in machine learning frameworks such as TensorFlow and PyTorch. He is also adept at using Git for version control and Jupyter Notebook and LaTeX for documentation and presentation.

👨‍🏫 Teaching Experience

Ziyang has contributed to undergraduate computer science education by assisting in lab sessions and offering support in programming courses, enhancing both his teaching and communication skills.

🔬 Research Interests

His primary research interests lie in Few-Shot Learning, Deep Learning, Neural Network Optimization, and Computer Vision. He is particularly motivated by the challenge of enabling AI systems to learn efficiently from minimal data.

📚 Selected Publication