Yijun Wang

Artificial Intelligence · with Liu · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 24 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Model Architectures — 8 citations into it

Whom Yijun Wang trusts overall

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

1. Ilya Sutskever
2. Diederik P. Kingma
3. Yoshua Bengio
4. Matthew D. Zeiler
5. Geoffrey E. Hinton
6. Kaiming He
7. Rico Sennrich
8. Dzmitry Bahdanau
9. Kyunghyun Cho
10. Oriol Vinyals

Who trusts Yijun Wang overall

1. Guillaume Lample
2. Lijun Wu

Papers from Yijun Wang's perspective

Ordered by how strongly the researchers Yijun Wang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization (2018) — 66 citations