Long, Da

8 publications

TMLR 2026 StFT: Spatio-Temporal Fourier Transformer for Long-Term Dynamics Prediction Da Long, Shandian Zhe, Samuel Williams, Leonid Oliker, Zhe Bai

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

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

TMLR 2025 Pseudo-Physics-Informed Neural Operators: Enhancing Operator Learning from Limited Data Keyan Chen, Yile Li, Da Long, Zhitong Xu, Wei W. Xing, Jacob Hochhalter, Shandian Zhe

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

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

ICLR 2024 Solving High Frequency and Multi-Scale PDEs with Gaussian Processes Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe

ICML 2022 AutoIP: A United Framework to Integrate Physics into Gaussian Processes Da Long, Zheng Wang, Aditi Krishnapriyan, Robert Kirby, Shandian Zhe, Michael Mahoney