Fei Shen

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Fei Shen trusts

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

1. Yoshua Bengio (in Artificial Intelligence)
2. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Fei Shen's perspective

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

1. Long Short-Term Memory
2. Deep Learning
3. Representation Learning: A Review and New Perspectives
4. Visualizing Data using t-SNE
5. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks (2018) — 735 citations