Gaochao liu

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Structural Biology — 9 citations into it
• Molecular Biology — 7 citations into it

Whom Gaochao liu trusts overall

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

1. N. Grigorieff
2. Geoffrey E. Hinton
3. L. Eon Bottou
4. Alex Krizhevsky
5. Sjors H. W. Scheres
6. Ilya Sutskever

Papers from Gaochao liu's perspective

Ordered by how strongly the researchers Gaochao liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Dropout: a simple way to prevent neural networks from overfitting
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Human-level control through deep reinforcement learning
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Long Short-Term Memory
9. Visualizing and Understanding Convolutional Networks
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM (2016) — 194 citations