Huadong Chen

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #30,826 of 35,345 by trust here, #25,040 by citations
• Natural Language Processing — 12 citations into it
• Model Architectures — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it; #18,984 of 21,575 by trust here, #16,367 by citations

Whom Huadong Chen trusts overall

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

1. Matthew D. Zeiler
2. David Chiang
3. Dzmitry Bahdanau
4. Philipp Koehn
5. Yoshua Bengio
6. Slav Petrov
7. Kyunghyun Cho
8. Kenji Yamada
9. Ilya Sutskever
10. Geoffrey E. Hinton

Who trusts Huadong Chen overall

1. Marco Damonte
2. R. Thomas McCoy
3. Bhuwan Dhingra
4. Jian Yang
5. Shay B. Cohen
6. Tal Linzen
7. Qiao Jin
8. Shuangzhi Wu

Papers from Huadong Chen's perspective

Ordered by how strongly the researchers Huadong Chen 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder (2017) — 152 citations