Feng Xiao

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Natural Language Processing — 22 citations into it

Whom Feng Xiao trusts overall

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

1. Yoshua Bengio
2. Dzmitry Bahdanau
3. Kyunghyun Cho
4. Jason Aaron Edward Weston
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Diederik P. Kingma
8. Kaiming He
9. Alex Krizhevsky
10. Yann LeCun

Papers from Feng Xiao's perspective

Ordered by how strongly the researchers Feng Xiao 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers

• Condition Aware and Revise Transformer for Question Answering (2020) — 21 citations