Yao Shu

Artificial Intelligence · 2019

A researcher in the Science corpus: 3 papers; trusts 556 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #33,083 of 35,345 by trust here, #23,731 by citations
• Computer Vision and Pattern Recognition — 58 citations into it
• Model Architectures — 27 citations into it
• Efficiency & Compression — 21 citations into it
• Optimization & Training — 16 citations into it
• Neural Architecture Search & AutoML — 9 citations into it

Whom Yao Shu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Barret Zoph
5. Karen Simonyan
6. Diederik P. Kingma
7. Quoc V. Le
8. Yoshua Bengio
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Yao Shu overall

1. Shaofeng Cai

Papers from Yao Shu's perspective

Ordered by how strongly the researchers Yao Shu 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Dynamic Routing Networks (2019) — 60 citations
• Understanding Architectures Learnt by Cell-based Neural Architecture Search (2019) — 93 citations
• Efficient Memory Management for GPU-based Deep Learning Systems (2019) — 45 citations