Scholar
Thu Bui
Google Scholar ID: kBccc98AAAAJ
PhD Student, Purdue University
Citations & Impact
Citations
7
H-index
1
i10-index
0
Publications
4
Co-authors
2
list available
Publications
Resume (English only)
Research Experience
- Works as a researcher at Purdue University, focusing on areas such as random propagations in graph neural networks, test-time adaptation methods, and evaluating generative graph models.
Education
- Graduated from Trinity College in 2021 with Honors in Computer Science and Mathematics, supervised by Professor Ryan Pellico (Mathematics) and Professor Ewa Syta (Computer Science). Since August 2021, working at Purdue University, advised by Professor Bruno Ribeiro.
Background
- Research Interests: Graph learning and out-of-distribution problems. Focuses on improving the efficiency and performance of GNN models by incorporating randomness, as well as enhancing the out-of-distribution robustness of deep neural networks.
Miscellany
- Served as a reviewer for ICLR 2025 and UniReps 2024; teaching assistant at Purdue University since 2021; invited speaker at SMART Films Consortium 2023 and Mathematical Association of America Northeastern Section Fall 2019 Conference.
