• Ying-Xin (Shirley) Wu

    I've moved! Find my new web here.


    Shirley is an undergraduate (fourth year) in School of Data Science of University of Science and Technology of China (USTC), advised by Prof. Xiangnan He. She will join Stanford CS as a Ph.D. candidate.


    GitHub          |               Google Scholar | Twitter

  • Main Publications


    [1] Discovering Invariant Rationales for Graph Neural Networks
    Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua
    ICLR (Poster), Virtual, Mar. 2022. Code.


    [2]  Towards Multi-Grained Explainability for Graph Neural Networks
    Xiang Wang, Ying-Xin Wu, An Zhang, Xiangnan He, Tat-Seng Chua
    NeurIPS (Poster), Virtual, Dec. 2021. Code.


    [3] Knowledge-Aware Meta-learning for Low-Resource Text Classification
    Huaxiu Yao, Ying-Xin Wu, Maruan Al-Shedivat, Eric P. Xing
    EMNLP (Oral), Punta Cana, Dominican Republic, Nov. 2021 (Short Paper)



  • Selected Honors

    National Scholarship, 2021, China.
    Special Scholarship, 2020, China.
    Meritorious Winner in MCM/ICM, 2020, US.
  • Professional Services

    Reviewer: ICML'22, NeurIPS'22
  • Experiences

    Univ. of Science & Technology of China

    2018.9 - now | advisor: Prof. Xiangnan He.

    I received my main undergraduate education in USTC. I am lucky to follow Prof. Xiangnan, which highly promotes me to go for professional competence.


    Rank: 1/28 | GPA: 4.03/4.3 | MS: 92.4

    National University of Singapore

    2020.3 - 2021.12 | advisor: Prof. Chua Tat-Seng & Dr. Xiang Wang

    Research: Explainability and Interpretability of GNNs

    This internship strengthens my problem-solving skills and broadens my research horizons.


    2021.3 - now | advisor: Dr. Huaxiu Yao

    Research: Out-of-Distribution Generalization, Meta-learning and Knowledge Graph.

    I also closely collaborate with Dr. Huaxiu, and we are currently building machine learning models that are robust to distribution shifts.

  • Contact

    West Compus, University of Science and Technology of China
    10 a.m. - 10 p.m., everyday
  • Other Interests


    This is when he comes and messes around, lolll

    Mountain Climbing

    Extreme Sports