Yi Huang portrait

Yi Huang

Ph.D. Student

Beihang University

- I am a Ph.D. student in the School of Computer Science and Engineering at Beihang University, advised by Professor Jianxin Li, Ziwei Zhang and Qingyun Sun.
- My research explores graph machine learning. I am engaged in developing interpretable graph learning models that achieve strong performance through effective data compression while ensuring model transparency and explainability.
- Recently, my research interests include data mining, neural AI, and relational deep learning, with a focus on enhancing the reliability of methods through an information-theoretic perspective.
- Please feel free to contact me for any collaboration or discussion opportunities!

Research Interests

Data Mining

Exploring efficient methods to extract and compress meaningful patterns and insights from complex datasets.

Trustworthy AI

Designing AI systems that are transparent, interpretable, and reliable to ensure ethical and responsible deployment in real-world applications.

Relational Deep Learning

Employing GNNs to learn cross-table relation in relational databases, achieving end-to-end relational inference and representation learning.

Education & Experience

2021 - 2025

1

B.S. in Artificial Intelligence

Beihang University

School of Artificial Intelligence

National Scholarship of China;
Outstanding Graduate of Beihang University.

Ph.D. in Software Engineering

Beihang University

School of Computer Science and Engineering

Advisor: Jianxin Li, Ziwei Zhang and Qingyun Sun.
Research focus on Graph Machine Learning.

2

2025 - Present