Fei Wen

Computational Mechanics · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 21 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Signal Processing — 7 citations into it

Whom Fei Wen trusts overall

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

1. E.J. Candes
2. Michael Elad
3. Stéphane Mallat
4. Diederik P. Kingma
5. David L. Donoho
6. Geoffrey E. Hinton
7. Joel A. Tropp
8. Richard Baraniuk
9. Yann LeCun

Papers from Fei Wen's perspective

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

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

Their papers

• AMP-Net: Denoising-Based Deep Unfolding for Compressive Image Sensing (2020) — 309 citations