Yun Fei

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 18 citations into it
• Artificial Intelligence — 15 citations into it
• Computational Mechanics — 14 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Numerical Methods & Scientific Computing — 6 citations into it
• AI for Physical Sciences — 5 citations into it

Whom Yun Fei trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Kaiming He
3. Maizar Raissi
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Jimmy Ba
7. Brandon Amos
8. Justin A. Sirignano
9. Mengyu Chu
10. Stefano Schiavon

Who trusts Yun Fei overall

1. Alasdair Tran

Papers from Yun Fei's perspective

Ordered by how strongly the researchers Yun Fei trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Et al
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers (2020) — 363 citations