Jiangzhong Cao

Generative Models · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 8 citations into it

Whom Jiangzhong Cao trusts overall

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

1. Diederik P. Kingma
2. Alec Radford
3. Geoffrey E. Hinton
4. Antonio Torralba
5. Ian J. Goodfellow
6. Jimmy Ba
7. Alex Krizhevsky
8. Adam Coates
9. Yoshua Bengio
10. Tim Salimans

Papers from Jiangzhong Cao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Going deeper with convolutions
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Improved Training of Spectral Normalization Generative Adversarial Networks (2020) — 14 citations