Shurui Gui

Ph.D. Student, Texas A&M University

shurui.gui [AT] tamu.edu

Bio

Howdy! I am currently a 2nd year Ph.D. student at Texas A&M University, advised by Dr. Shuiwang Ji, the leader of the Data Integration, Visualization, and Exploration (DIVE) Lab. I got my B.E. from University of Science and Technology of China in Computer Science and Technology (honor class) in 2020.

My research interests are general machine learning and deep learning. Specifically, my interest topics include Out-of-Distribution generalization, causality, and explainability especailly for graph data.

News

Publications [Google Scholar]

* indicates equal contribution.

GOOD: A Graph Out-of-Distribution Benchmark

Shurui Gui*, Xiner Li*, Limei Wang, Shuiwang Ji

Neural Information Processing Systems (NeurIPS), 2022
Datasets and Benchmarks Track

Explainability in graph neural networks: A taxonomic survey

Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022

FlowX: Towards Explainable Graph Neural Networks via Message Flows

Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji

arXiv preprint arXiv:2206.12987, 2022

DIG: A Turnkey Library for Diving into Graph Deep Learning Research

Meng Liu*, Youzhi Luo*, Limei Wang*, Yaochen Xie*, Hao Yuan*, Shurui Gui*, Haiyang Yu*, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora Oztekin, Xuan Zhang, and Shuiwang Ji

Journal of Machine Learning Research (JMLR), 2021

Featureflow: Robust video interpolation via structure-to-texture generation

Shurui Gui*, Chaoyue Wang*, Qihua Chen, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Services

Program Committee Member & Reviewer [Selected]

Annual Conference on Neural Information Processing Systems (NeurIPS) on Datasets and Benchmarks track 2022

Learning on Graphs Conference (LoG) 2022

Résumé

  • Texas A&M University 2020 - now
    Ph.D. Student
    DIVE Lab: Advisor: Dr. Shuiwang Ji
  • The University of Sydney Summer 2019
    Intern
    Research Scientist, Mentor: Dr. Dacheng Tao
  • USTC 2016 - 2020
    B.E. Student
    Computer Science and Technology (Honor class)