• 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.

      Stanford

      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
      -
      -
      wuyxinsh@gmail.com
      Submit

    • Other Interests

      Calligraphy

      This is when he comes and messes around, lolll

      Mountain Climbing

      Extreme Sports

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