Yongwei Wu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Natural Language Processing — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 8 citations into it

Whom Yongwei Wu trusts overall

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

1. Ilya Sutskever
2. Richard Socher
3. Oriol Vinyals
4. Yoshua Bengio
5. Dzmitry Bahdanau
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Alex Graves
10. Yann LeCun

Papers from Yongwei Wu's perspective

Ordered by how strongly the researchers Yongwei Wu 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Low latency RNN inference with cellular batching (2018) — 103 citations