Yu Zhao

Natural Language Processing · with Liu · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 27 citations into it
• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Yu Zhao trusts overall

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

1. Tomas Mikolov
2. Evgeniy Gabrilovich
3. Rudi Cilibrasi
4. Ilya Sutskever
5. Chin-Yew Lin
6. Yehuda Koren
7. Bryan Perozzi
8. Yoshua Bengio
9. Geoffrey E. Hinton
10. Oriol Vinyals

Who trusts Yu Zhao overall

1. Masanao Ochi
2. Yuko Nakashio

Papers from Yu Zhao's perspective

Ordered by how strongly the researchers Yu Zhao 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Neural Headline Generation with Sentence-wise Optimization (2016) — 41 citations
• Representation Learning for Measuring Entity Relatedness with Rich Information (2015) — 38 citations