Chao Wang

Artificial Intelligence · with Hu · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it

Whom Chao Wang trusts overall

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

1. Alex Krizhevsky
2. Mingsheng Long
3. Kaiming He
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Yoshua Bengio
7. Zhangjie Cao
8. Judy Hoffman
9. Jeff Donahue
10. Ross B. Girshick

Papers from Chao Wang's perspective

Ordered by how strongly the researchers Chao 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. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Discriminative Partial Domain Adversarial Network (2020) — 30 citations