Yong Yu

Artificial Intelligence · with Hu · 2019

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

Subfields

• Artificial Intelligence — 22 citations into it; #31,341 of 35,345 by trust here, #21,878 by citations
• Model Architectures — 18 citations into it

Whom Yong Yu trusts overall

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

1. J. Urgen Schmidhuber
2. Alex Graves
3. Yoshua Bengio
4. Yann LeCun
5. Geoffrey E. Hinton
6. Felix Alexander Gers
7. Sepp Hochreiter
8. Paul J. Werbos
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Yong Yu overall

1. Ammar Mohammed
2. Weikuan Jia
3. Son Dinh Tran
4. Heba Askr
5. Rania Kora
6. Burak Gülmez
7. Meili Sun

Papers from Yong Yu's perspective

Ordered by how strongly the researchers Yong Yu 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
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

• A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures (2019) — 5,068 citations