Chao Yang

Artificial Intelligence · with Kong · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Chao Yang trusts

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

1. Judy Hoffman (in Artificial Intelligence)
2. Trevor Darrell (in Artificial Intelligence)
3. Kate Saenko (in Artificial Intelligence)
4. Qiang Yang (in Artificial Intelligence)
5. Victor S. Lempitsky (in Computer Vision and Pattern Recognition)
6. Eric Tzeng (in Artificial Intelligence)

Papers from Chao Yang's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. A Survey on Transfer Learning
8. Long Short-Term Memory
9. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Survey on Deep Transfer Learning (2018) — 2,931 citations