Shurui Gui

According to our database, Shurui Gui authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning.

Shurui Gui, Xiner Li, Shuiwang Ji

CoRR, February, 2025

2024

FlowX: Towards Explainable Graph Neural Networks via Message Flows.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2024

A Hierarchical Language Model For Interpretable Graph Reasoning.

Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji

CoRR, 2024

Geometry Informed Tokenization of Molecules for Language Model Generation.

Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji

CoRR, 2024

Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.

Yuchao Lin, Jacob Helwig, Shurui Gui, Shuiwang Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Structure Extrapolation for Out-of-Distribution Generalization.

Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm.

Shurui Gui, Xiner Li, Shuiwang Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Explainability in Graph Neural Networks: A Taxonomic Survey.

Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

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 J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji

CoRR, 2023

Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization.

Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji

CoRR, 2023

Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization.

Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

GOOD: A Graph Out-of-Distribution Benchmark.

Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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, Shuiwang Ji

J. Mach. Learn. Res., 2021

2020

FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation.

Shurui Gui, Chaoyue Wang, Qihua Chen, Dacheng Tao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020