Wei Gao

Artificial Intelligence · with Huang · 2019

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Model Architectures — 19 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Optimization & Training — 10 citations into it
• Neural Architecture Search & AutoML — 7 citations into it
• Reinforcement Learning — 5 citations into it

Whom Wei Gao trusts overall

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

1. Yoshua Bengio
2. Kaiming He
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Ronald J. Williams
6. Alex Krizhevsky
7. Barret Zoph
8. James Bergstra
9. Karen Simonyan
10. Christian Szegedy

Papers from Wei Gao's perspective

Ordered by how strongly the researchers Wei Gao 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. ImageNet classification with deep convolutional neural networks
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. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Automatic Design of Deep Networks with Neural Blocks (2019) — 25 citations