Ting-Wei Li

📍 Champaign, IL, USA. 📧 twli AT illinois DOT edu.

profile_pic.jpg

I’m Ting-Wei Li, a first-year Ph.D. student at the Department of Computer Science @ University of Illinois Urbana-Champaign. My supervisor is Prof. Hanghang Tong.

My research interest lies in graph machine learning, trustworthy machine learning and any intersection of the above two areas. For applications, I am particually interested in social network analysis and interactions between LLMs and Knowledge Graphs.

Before joining UIUC, I received my master’s degree from ECE @ University of Michigan, Ann Arbor and bachelor’s degree from EE @ National Taiwan University. I also work extensively with Prof. Qiaozhu Mei, Prof. Jiaqi Ma and Prof. Yao Ma.

news

Sep 21, 2024 One paper has been accepted to NeurIPS D&B Track 2024 (Spotlight).
Apr 30, 2024 I will join IDEA Lab@UIUC as a Ph.D. student and be supervised by Prof. Hanghang Tong this fall!
Sep 30, 2023 One paper has been accepted to NeurIPS 2023.
Aug 30, 2023 I will join AT&T as a chief data office intern this fall.

selected publications

  1. NeurIPS
    dattri: A Library for Efficient Data Attribution
    Junwei Deng*, Ting-Wei Li*, Shiyuan Zhang, and 7 more authors
    Advances in Neural Information Processing Systems, 2025
  2. arxiv
    Efficient Ensembles Improve Training Data Attribution
    Junwei Deng*, Ting-Wei Li*, Shichang Zhang, and 1 more author
    arXiv preprint arXiv:2405.17293, 2024
  3. NeurIPS
    A Metadata-Driven Approach to Understand Graph Neural Networks
    Ting-Wei Li, Qiaozhu Mei, and Jiaqi Ma
    Advances in Neural Information Processing Systems, 2024
  4. LoG
    Graph learning indexer: A contributor-friendly and metadata-rich platform for graph learning benchmarks
    Jiaqi Ma, Xingjian Zhang, Hezheng Fan, and 6 more authors
    In Learning on Graphs Conference , 2022