• Professor, Computer Science & Engineering
  • Truchard Family Endowed Chair
  • Presidential Impact Fellow
  • Chancellor EDGES Fellow
  • Affiliated Faculty, Materials Science & Engineering and Mechanical Engineering
Scholars@TAMU Google Scholar Profile
Image of Shuiwang Ji.

Educational Background

  • Ph.D., Computer Science, Arizona State University — 2010

Research Interests

    • 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
  • Computer Science & Engineering Graduate Faculty Teaching Excellence Award, Texas A&M University – 2021
  • Institute of Electrical and Electronics Engineers (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, Cong Fu, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Kucukbenli, Xiaofeng Qian, Shuiwang Ji: “Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations.” Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
  • Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji: “Geometry Informed Tokenization of Molecules for Language Model Generation.” International Conference on Machine Learning (ICML), 36096-36128, 2025.
  • 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 Stark, 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, Alan Aspuru-Guzik, Erik Bekkers, Michael Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Lio, Rose Yu, Stephan Gunnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess Smidt, Shuiwang Ji: “Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.” Foundations and Trends® in Machine Learning, Vol. 18, No. 4, 385–912, 2025.
  • Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arroyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji: “Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation.” Annual Conference on Neural Information Processing Systems (NeurIPS), 125050–125072, 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), 55797-55813, 2024.
Scholars@TAMU Google Scholar Profile