Changliang Li

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Natural Language Processing — 23 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Model Architectures — 13 citations into it

Whom Changliang Li trusts overall

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

1. Kaiming He

Papers from Changliang Li's perspective

Ordered by how strongly the researchers Changliang Li 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Long Short-Term Memory
7. ImageNet classification with deep convolutional neural networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Identity Mappings in Deep Residual Networks
10. Neural Machine Translation of Rare Words with Subword Units

Their papers

• Learning Deep Transformer Models for Machine Translation (2019) — 775 citations