Scholar
Ting-Wei Li
Google Scholar ID: ema4jhsAAAAJ
University of Illinois Urbana-Champaign
Citations & Impact
Citations
38
H-index
4
i10-index
1
Publications
9
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- One paper accepted to NeurIPS 2025; One paper accepted to NeurIPS D&B Track 2024 (Spotlight); One paper accepted to NeurIPS 2023; Contributed to the development of dattri, a library for efficient data attribution; Proposed a metadata-driven approach to understand graph neural networks.
Research Experience
- Will join Amazon as an Applied Scientist Intern in summer 2025; Will join AT&T as a Chief Data Office Intern in fall 2023; Will join IDEA Lab@UIUC as a Ph.D. student in fall 2024, supervised by Prof. Hanghang Tong.
Education
- Ph.D. student at the Department of Computer Science, University of Illinois Urbana-Champaign, supervised by Prof. Hanghang Tong; Master's degree from ECE, University of Michigan, Ann Arbor; Bachelor's degree from EE, National Taiwan University.
Background
- Research interests: Graph machine learning, trustworthy machine learning, and their intersections. Particularly interested in applications such as social network analysis and interactions between LLMs and Knowledge Graphs.
Miscellany
- Contact: twli AT illinois DOT edu; Personal website powered by Jekyll with al-folio theme, hosted on GitHub Pages.
