Chen Lei

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #17,110 of 35,345 by trust here, #29,412 by citations
• Computer Vision and Pattern Recognition — 27 citations into it
• Optimization & Training — 13 citations into it
• Model Architectures — 10 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Chen Lei trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Yann LeCun
5. Ilya Sutskever
6. Quoc V. Le
7. Diederik P. Kingma
8. Kaiming He
9. Barret Zoph
10. James Bergstra

Who trusts Chen Lei overall

1. Yonggan Fu
2. Wuyang Chen
3. Xuanyi Dong
4. Haotao Wang

Papers from Chen Lei's perspective

Ordered by how strongly the researchers Chen Lei 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Automated Machine Learning (2021) — 255 citations