Zhao Yan

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it
• Natural Language Processing — 50 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Model Architectures — 9 citations into it
• Information Retrieval & Search — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Zhao Yan trusts overall

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

1. Ilya Sutskever
2. Yoshua Bengio
3. Dzmitry Bahdanau
4. Geoffrey E. Hinton
5. Kyunghyun Cho
6. Ronald J. Williams
7. Diederik P. Kingma
8. Alex Graves
9. Sepp Hochreiter
10. Alex Krizhevsky

Papers from Zhao Yan's perspective

Ordered by how strongly the researchers Zhao Yan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Table-to-Text: Describing Table Region With Natural Language (2018) — 116 citations
• Learning to Collaborate for Question Answering and Asking (2018) — 51 citations