Yizhu Liu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 14 citations into it
• Model Architectures — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Yizhu Liu trusts overall

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

1. Ilya Sutskever
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Kaiming He
5. Yann LeCun
6. Dzmitry Bahdanau
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Oriol Vinyals
10. Tomas Mikolov

Who trusts Yizhu Liu overall

1. Junxian He

Papers from Yizhu Liu's perspective

Ordered by how strongly the researchers Yizhu Liu 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Controlling Length in Abstractive Summarization Using a Convolutional Neural Network (2018) — 81 citations