Hanchao Wang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 24 citations into it
• Generative Models — 23 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Hanchao Wang trusts overall

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

1. Han Cai
2. Geoffrey E. Hinton
3. Takeru Miyato
4. Barret Zoph
5. Alex Krizhevsky
6. Ian J. Goodfellow
7. Yoshua Bengio
8. Diederik P. Kingma
9. Quoc V. Le
10. Kaiming He

Who trusts Hanchao Wang overall

1. Chen Gao
2. Yunpeng Chen

Papers from Hanchao Wang's perspective

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

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

Their papers

• AGAN: Towards Automated Design of Generative Adversarial Networks (2019) — 41 citations