Publications

Da Long, Zhitong Xu, Guang Yang, Akil Narayan, Shandian Zhe (2025). Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation. ICML.

Zhitong Xu*, Da Long*, Yiming Xu, Guang Yang, Shandian Zhe, Houman Owhadi (2025). Toward Efficient Kernel-Based Solvers for Nonlinear PDEs. ICML.

Da Long, Zhitong Xu, Qiwei Yuan, Yin Yang, Shandian Zhe (2025). Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems. AISTATS.

Da Long, Wei W Xing, Aditi S Krishnapriyan, Robert M Kirby, Shandian Zhe, Michael W Mahoney (2024). Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels. AISTATS.

Da Long, Nicole Mrvaljevic, Shandian Zhe, Bamdad Hosseini (2024). A kernel approach for pde discovery and operator learning. Physica D: Nonlinear Phenomena.

Shikai Fang*, Madison Cooley*, Da Long*, Shibo Li, Robert Kirby, Shandian Zhe (2023). Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. ICLR.

Da Long, Zheng Wang, Aditi Krishnapriyan, Robert Kirby, Shandian Zhe, Michael Mahoney (2022). AutoIP: A united framework to integrate physics into Gaussian processes. ICML.