Chongxuan Huang

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 19 citations into it
• Artificial Intelligence — 18 citations into it

Whom Chongxuan Huang trusts overall

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

1. Philipp Koehn
2. Matt Post
3. Jacob Devlin
4. Chris Dyer
5. Jiajun Zhang
6. Rico Sennrich
7. Yoshua Bengio
8. Geoffrey E. Hinton
9. Ashish Vaswani
10. Jeff Johnson

Papers from Chongxuan Huang's perspective

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

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

Their papers

• Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation (2020) — 27 citations