About Me
Hi! I am Yijun Ma, a first-year PhD student in the Department of Computer Science and Engineering at the University of Notre Dame, advised by Prof. Fanny Ye. My research focuses on machine learning and data science, especially foundation models for structured and dynamic data, and their applications in healthcare and information systems. I aim to enable foundation models to reason over large-scale structured data, simulate complex systems, and support decision-making for real-world challenges. Specifically, the topics mainly cover the following aspects:
◦ Graph Foundation Model: Pattern-centric temporal graph learning (ArXiv); General graph foundation model (Survey).
◦ AI for Science and Social Good: Policy evaluation for opioid epidemic (ArXiv); LLMs for scientific discovery (Survey).
◦ Trustworthy Learning on Graphs: Interpretable and robust graph learning under data sparsity (TOIS’25, AAAI’24).
For more details, please check my CV here. Feel free to reach out me via email if you are interested in my work and would like to explore potential collaborations.
News
- ✨ [2025.10] We have released LLMs4ALL, an extensive survey on LLMs for research and applications in various academic disciplines.
- [2025.09] One paper about explainable social recommendation was accepted by TOIS. Congratulations to Hanze!
Contact
- Email: yma7 [AT] nd [DOT] edu.
- Office: 247 Fitzpatrick Hall of Engineering.
- Location: University of Notre Dame, Notre Dame, IN 46565.