- Professor, Computer Science & Engineering
- Presidential Impact Fellow
- Joint Faculty in: Computer Engineering
- 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
- Deep Learning
- Graph and Image Analysis
- Quantum Systems
Awards & Honors
- Faculty Early Career Development (CAREER) Award, National Science Foundation, 2014
- American Institute for Medical and Biological Engineering Fellow, 2022
Selected Publications
- 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, and Shuiwang Ji: DIG: A Turnkey Library for Diving into Graph Deep Learning Research. Journal of Machine Learning Research, 22(240):1-9, 2021.
- Youzhi Luo, Keqiang Yan, Shuiwang Ji: GraphDF: A Discrete Flow Model for Molecular Graph Generation. The 38th International Conference on Machine Learning (ICML), 7192-7203, 2021.
- Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, and Shuiwang Ji: On Explainability of Graph Neural Networks via Subgraph Explorations. The 38th International Conference on Machine Learning (ICML), 12241-12252, 2021.
- Zhengyang Wang, Yaochen Xie, and Shuiwang Ji: Global Voxel Transformer Networks for Augmented Microscopy. Nature Machine Intelligence, 3: 161-171, 2021
- Hongyang Gao and Shuiwang Ji: Graph U-Nets. The 36th International Conference on Machine Learning (ICML), 2083-2092, 2019.
- Hongyang Gao, Zhengyang Wang, and Shuiwang Ji: Large-Scale Learnable Graph Convolutional Networks. The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 1416-1424, 2018.
- Shuiwang Ji, Wei Xu, Ming Yang, and Kai Yu: 3D Convolutional Neural Networks for Human Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1):221-231, 2013