Shiyu Wu

Natural Language Processing · 2015

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 38 citations into it
• Artificial Intelligence — 32 citations into it
• Model Architectures — 14 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Shiyu Wu trusts overall

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

1. Richard Socher
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Alex Graves
6. Ronan Collobert
7. Tomas Mikolov
8. Alex Krizhevsky
9. Kyunghyun Cho
10. Diederik P. Kingma

Papers from Shiyu Wu's perspective

Ordered by how strongly the researchers Shiyu Wu 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents (2015) — 177 citations
• Sentence Modeling with Gated Recursive Neural Network (2015) — 32 citations