Rongqin Yang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #33,103 of 35,345 by trust here, #32,362 by citations
• Natural Language Processing — 28 citations into it; #5,303 of 5,688 by trust here, #5,412 by citations

Whom Rongqin Yang trusts overall

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

1. Geoffrey E. Hinton
2. Matthew D. Zeiler
3. Steven Bird
4. Yoshua Bengio
5. Oriol Vinyals
6. Alex Krizhevsky
7. Ilya Sutskever
8. Diederik P. Kingma
9. Richard Socher
10. Kyunghyun Cho

Who trusts Rongqin Yang overall

1. Debajyoti Chatterjee
2. Christopher Clark

Papers from Rongqin Yang's perspective

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

Their papers

• Smarnet: Teaching Machines to Read and Comprehend Like Human (2017) — 23 citations