Chen Liang

Artificial Intelligence · with Jiang · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Natural Language Processing — 18 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Chen Liang trusts overall

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

1. Philipp Koehn
2. Rico Sennrich
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ilya Sutskever
6. Jimmy Ba
7. Geoffrey E. Hinton
8. Barry Haddow
9. Jacob Devlin
10. Ashish Vaswani

Papers from Chen Liang's perspective

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

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

Their papers

• Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing (2019) — 37 citations