1. Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar arXiv preprint arXiv:2202.11214
  2. Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro In The International Conference on Learning Representations (ICLR 2022)
  3. Physics-informed neural operator for learning partial differential equations Zongyi Li, Hongkai Zheng, Nikola Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar arXiv preprint arXiv:2111.03794
  4. Neural operator: Learning maps between function spaces Kovachki, Nikola, Li, Zongyi, Liu, Burigede, Azizzadenesheli, Kamyar, Bhattacharya, Kaushik, Stuart, Andrew, and Anandkumar, Anima arXiv preprint arXiv:2108.08481
  5. U-FNO–an enhanced Fourier neural operator based-deep learning model for multiphase flow Wen, Gege, Li, Zongyi, Azizzadenesheli, Kamyar, Anandkumar, Anima, and Benson, Sally M Advances in Water Resources 163, 104180
  6. Markov Neural Operators for Learning Chaotic Systems Li, Zongyi, vachki, Nikola, Azizzadenesheli, Kamyar, Liu, Burigede, Bhattacharya, Kaushik, Stuart, Andrew, and Anandkumar, Anima arXiv preprint 2106.06898
  7. A learning-based multiscale method and its application to inelastic impact problems Liu, Burigede, Kovachki, Nikola, Li, Zongyi, Azizzadenesheli, Kamyar, Anandkumar, Anima, Stuart, Andrew, and Bhattacharya, Kaushik Journal of the Mechanics and Physics of Solids
  8. Fourier Neural Operator for Parametric Partial Differential Equations Li, Zongyi, Kovachki, Nikola, Azizzadenesheli, Kamyar, Liu, Burigede, Bhattacharya, Kaushik, Stuart, Andrew, and Anandkumar, Anima In The International Conference on Learning Representations (ICLR 2021)
  9. Multipole Graph Neural Operator for Parametric Partial Differential Equations Li, Zongyi, Kovachki, Nikola, Azizzadenesheli, Kamyar, Liu, Burigede, Bhattacharya, Kaushik, Stuart, Andrew, and Anandkumar, Anima In Neural information processing systems (NeurIPS 2020)
  10. Neural Operator: Graph Kernel Network for Partial Differential Equations Li, Zongyi, Kovachki, Nikola, Azizzadenesheli, Kamyar, Liu, Burigede, Bhattacharya, Kaushik, Stuart, Andrew, and Anandkumar, Anima
  11. Conditional linear regression Calderon, Diego, Juba, Brendan, L, Sirui, Li, Zongyi, and Ruan, Lisa In International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
  12. Learning abduction using partial observability Juba, Brendan, Li, Zongyi, and Miller, Evan In Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018)