Tian Xia

Artificial Intelligence · with Li · 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 Tian Xia trusts

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

1. N. Grigorieff (in Structural Biology)
2. Sjors H. W. Scheres (in Structural Biology)
3. L. Eon Bottou (in Artificial Intelligence)

Papers from Tian Xia's perspective

Ordered by how strongly the researchers Tian Xia 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. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
8. What is the best multi-stage architecture for object recognition?
9. Deep Learning
10. Visualizing and Understanding Convolutional Networks

Their papers

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