Yan Lu

Artificial Intelligence · with Finol · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Yan Lu trusts overall

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

1. Radford M. Neal
2. Geoffrey E. Hinton
3. Yann LeCun
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ilya Sutskever
7. Li Deng
8. Diederik P. Kingma
9. J. Urgen Schmidhuber
10. Alex Graves

Who trusts Yan Lu overall

1. Mourad Oudich

Papers from Yan Lu's perspective

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

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

Their papers

• Deep convolutional neural networks for eigenvalue problems in mechanics (2018) — 73 citations