FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation. - Shurui Gui; Chaoyue Wang; Qihua Chen; Dacheng Tao (CVPR, 2020)

DIG: A Turnkey Library for Diving into Graph Deep Learning Research. - Meng Liu 015; Youzhi Luo; Limei Wang; Yaochen Xie; Hao Yuan 001; Shurui Gui; Haiyang Yu 005; Zhao Xu 005; Jingtun Zhang; Yi Liu 059; Keqiang Yan; Haoran Liu; et al. (J. Mach. Learn. Res., 2021)

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

Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. - Shurui Gui; Meng Liu 015; Xiner Li; Youzhi Luo; Shuiwang Ji (NeurIPS, 2023)

Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization. - Xiner Li; Shurui Gui; Youzhi Luo; Shuiwang Ji (CoRR, 2023)

Explainability in Graph Neural Networks: A Taxonomic Survey. - Hao Yuan 001; Haiyang Yu 005; Shurui Gui; Shuiwang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm. - Shurui Gui; Xiner Li; Shuiwang Ji (ICLR, 2024)

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

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

Geometry Informed Tokenization of Molecules for Language Model Generation. - Xiner Li; Limei Wang; Youzhi Luo; Carl Edwards; Shurui Gui; Yuchao Lin; Heng Ji 001; Shuiwang Ji (CoRR, 2024)

A Hierarchical Language Model For Interpretable Graph Reasoning. - Sambhav Khurana; Xiner Li; Shurui Gui; Shuiwang Ji (CoRR, 2024)

FlowX: Towards Explainable Graph Neural Networks via Message Flows. - Shurui Gui; Hao Yuan 001; Jie Wang 005; Qicheng Lao; Kang Li 004; Shuiwang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. - Xuan Zhang; Limei Wang; Jacob Helwig; Youzhi Luo; Cong Fu 003; Yaochen Xie; Meng Liu 015; Yuchao Lin; Zhao Xu 005; Keqiang Yan; Keir Adams; Maurice Weiler; et al. (Found. Trends Mach. Learn., 2025)

Hierarchical Language Model Design For Interpretable Graph Reasoning. - Sambhav Khurana; Xiner Li; Shurui Gui; Shuiwang Ji (Trans. Mach. Learn. Res., 2025)

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning. - Shurui Gui; Xiner Li; Shuiwang Ji (CoRR, 2025)

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning. - Shubham Parashar; Shurui Gui; Xiner Li; Hongyi Ling; Sushil Vemuri; Blake Olson; Eric Li; Yu Zhang 044; James Caverlee; Dileep Kalathil; Shuiwang Ji (CoRR, 2025)

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training. - Shurui Gui; Shuiwang Ji (CoRR, 2025)