Scholar
Haiyang Yu
Google Scholar ID: LZKU1hUAAAAJ
Texas A&M University
Citations & Impact
Citations
2,143
H-index
7
i10-index
7
Publications
19
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers covering topics such as the explainability of Graph Neural Networks and quantum Hamiltonian prediction, with several projects accepted at top conferences like ICML, ICLR, and NeurIPS.
Research Experience
- Conducting research at the DIVE Laboratory, focusing on the explainability of Graph Neural Networks and handling large-scale graphs.
Education
- Ph.D. student in the Department of Computer Science & Engineering, Texas A&M University, advised by Prof. Shuiwang Ji; Bachelor's degree from the School of Information Science and Technology, University of Science and Technology of China (USTC) in 2020.
Background
- Research interests: deep learning and machine learning. Specifically, currently working on (1) graph deep learning, (2) AI for science, and (3) trustworthy AI. Current publications are related to the explainability of Graph Neural Networks and training GNNs on large-scale graphs.
