Zhaonan Sun

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Generative Models — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Zhaonan Sun trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ilya Sutskever
5. Andrew Y. Ng
6. Alex Krizhevsky
7. Yann LeCun
8. Jost Tobias Springenberg
9. Ian J. Goodfellow
10. Jimmy Ba

Papers from Zhaonan Sun's perspective

Ordered by how strongly the researchers Zhaonan Sun 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. GENERATIVE ADVERSARIAL NETS
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records (2017) — 180 citations