Ying Luo

Artificial Intelligence · with Hai · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 24 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Ying Luo trusts overall

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

1. Jeffrey Pennington
2. Jacob Devlin
3. John D. Lafferty
4. Zhilin Yang
5. Qi Liu
6. Geoffrey E. Hinton
7. Ruslan Salakhutdinov
8. Yoshua Bengio
9. Richard Socher
10. Diederik P. Kingma

Who trusts Ying Luo overall

1. Jinlan Fu

Papers from Ying Luo's perspective

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

Their papers

• Hierarchical Contextualized Representation for Named Entity Recognition (2019) — 141 citations