Gui, Shurui

10 publications

FnTML 2025 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, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, 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

ICML 2025 Discovering Physics Laws of Dynamical Systems via Invariant Function Learning Shurui Gui, Xiner Li, Shuiwang Ji

ICML 2025 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

TMLR 2025 Hierarchical Language Model Design for Interpretable Graph Reasoning Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji

ICLR 2024 Active Test-Time Adaptation: Theoretical Analyses and an Algorithm Shurui Gui, Xiner Li, Shuiwang Ji

ICML 2024 Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency Yuchao Lin, Jacob Helwig, Shurui Gui, Shuiwang Ji

ICML 2024 Graph Structure Extrapolation for Out-of-Distribution Generalization Xiner Li, Shurui Gui, Youzhi Luo, Shuiwang Ji

NeurIPS 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

NeurIPS 2022 GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji

MLOSS 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 M Oztekin, Xuan Zhang, Shuiwang Ji