Shurui Gui
Ph.D. Student, Texas A&M University
shurui.gui [AT] tamu.edu
Bio
Howdy! I am currently a 4th 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. My interest topics include Graph learning, Out-of-Distribution generalization, Causality, and Explainability.
I am enthusiastically open to collaboration and actively seeking internship opportunities. If you're interested in working together or have opportunities available, please feel free to reach out to me!
News
Publications [Google Scholar]
* indicates equal contribution.preprint
Artificial intelligence for science in quantum, atomistic, and continuum systems
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, YuQing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K Joshi, Simon V Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi Jaakkola, Connor W Coley, Xiaoning Qian, Xiaofeng Qian, Tess Smidt, Shuiwang Ji
arXiv preprint arXiv:2307.08423
2024
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji
Forty-first International Conference on Machine Learning (ICML), 2024
2023
2022
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
2021
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
2020
Services
Program Committee Member & Reviewer
NeurIPS on Datasets and Benchmarks track 2022, 2023
Annual Conference on Neural Information Processing Systems (NeurIPS) 2023
International Conference on Machine Learning (ICML) 2023
International Conference on Learning Representation (ICLR) 2023, 2024
Learning on Graphs Conference (LoG) 2022, 2023
International Conference on Information and Knowledge Management (CIKM) 2023
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Résumé
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NEC Laboratories America, Inc Summer 2024Research Intern
Mentor: Dr. Martin Renqiang Min -
Texas A&M University 2020 - nowPh.D. Student
DIVE Lab, Advisor: Dr. Shuiwang Ji -
West China Biomedical Big Data Center 2020 - 2021Research Intern
Research Intern, Mentor: Dr. Kang Li -
The University of Sydney Summer 2019Research Intern
Research Scientist, Mentor: Dr. Dacheng Tao -
USTC 2016 - 2020B.E. Student
Computer Science and Technology (Honor class) Top 7%