Daniel Zhengyu Huang
Statistical and Nonlinear Physics · 2022
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 9 citations into it
- Artificial Intelligence — 8 citations into it
Whom Daniel Zhengyu Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zong-Yi Li
- Nikola B. Kovachki
- Tianping Chen
- Kamyar Azizzadenesheli
- Olaf Ronneberger
- Vincent Sitzmann
- Gege Wen
Who trusts Daniel Zhengyu Huang overall
Papers from Daniel Zhengyu Huang's perspective
Ordered by how strongly the researchers Daniel Zhengyu Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Fourier Neural Operator for Parametric Partial Differential Equations (International Conference on Learning Representations)
- Neural Operator: Graph Kernel Network for Partial Differential Equations (International Conference on Learning Representations)
- Implicit Neural Representations with Periodic Activation Functions
- Learning Mesh-Based Simulation with Graph Networks (International Conference on Learning Representations)
- On universal approximation and error bounds for Fourier Neural Operators (Journal of machine learning research)
- Physics-Informed Neural Operator for Learning Partial Differential Equations (ACM / IMS Journal of Data Science)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators (arXiv.org)
- Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems
Their papers
- Fourier Neural Operator with Learned Deformations for PDEs on General Geometries (2022) — 645 citations