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!
Exploring efficient methods to extract and compress meaningful patterns and insights from complex datasets.
Designing AI systems that are transparent, interpretable, and reliable to ensure ethical and responsible deployment in real-world applications.
Employing GNNs to learn cross-table relation in relational databases, achieving end-to-end relational inference and representation learning.
2021 - 2025
Beihang University
School of Artificial Intelligence
National Scholarship of China;
Outstanding Graduate of Beihang University.
Beihang University
School of Computer Science and Engineering
Advisor: Jianxin Li, Ziwei Zhang and Qingyun Sun.
Research focus on Graph Machine Learning.
2025 - Present