Ouyang Qi

Structural Biology · 2016

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Structural Biology — 17 citations into it
• Surfaces, Coatings and Films — 14 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Materials Chemistry — 5 citations into it

Whom Ouyang Qi trusts overall

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

1. Sjors H. W. Scheres
2. Joachim Frank
3. Geoffrey E. Hinton
4. Rasmus Berg Palm
5. Alex Krizhevsky
6. David E. Rumelhart
7. Ilya Sutskever

Papers from Ouyang Qi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. A Fast Learning Algorithm for Deep Belief Nets
3. This PDF file includes: Materials and Methods
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning representations by back-propagating errors
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy (2016) — 140 citations
• Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning (2016) — 40 citations