- Professor, Computer Science & Engineering
- Truchard Family Chair
- Presidential Impact Fellow
- Chancellor EDGES Fellow
- Phone: 979-458-1547
- Email: sji@tamu.edu
- Office: PETR 305
Educational Background
- Ph.D., Computer Science, Arizona State University, 2010
Research Interests
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- Machine learning
- Artificial intelligence (AI) for science and engineering
- Language models and agents
Certifications & Memberships
- Fellow, Institute of Electrical and Electronics Engineers (IEEE) – 2023
- Fellow, American Institute for Medical and Biological Engineering (AIMBE) – 2022
Awards & Honors
- Dean of Engineering Excellence Award, Texas A&M University – 2024
- CSE Graduate Faculty Teaching Excellence Award, Texas A&M University – 2021
- IEEE Transactions on Pattern Analysis and Machine Intelligence Top 10 Most Popular Article – 2016-2021
- Faculty Early Career Development (CAREER) Award, National Science Foundation – 2014
Selected Publications
- Yuchao Lin, Jacob Helwig, Shurui Gui, Shuiwang Ji:Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency. International Conference on Machine Learning (ICML), 2024.
- Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji: A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction. International Conference on Machine Learning (ICML), 2024.
- Montgomery Bohde, Meng Liu, Alexandra Saxton, Shuiwang Ji: On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods. International Conference on Learning Representations (ICLR), 2024.
- Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji: SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations. International Conference on Learning Representations (ICLR), 2024.
- Youzhi Luo, Chengkai Liu, Shuiwang Ji: Towards Symmetry-Aware Generation of Periodic Materials. The 37th Conference on Neural Information Processing Systems (NeurIPS), 53308-53329, 2023.
- Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji: Group Equivariant Fourier Neural Operators for Partial Differential Equations. International Conference on Machine Learning (ICML), 12907-12930, 2023.
- Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji: ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs. The 36th Conference on Neural Information Processing Systems (NeurIPS), 650-664, 2022.
- Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji: Periodic Graph Transformers for Crystal Material Property Prediction. The 36th Conference on Neural Information Processing Systems (NeurIPS), 15066-15080, 2022.