Jean Yee Hwa Yang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Molecular Biology — 20 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Jean Yee Hwa Yang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Leo Breiman
4. Alex Krizhevsky
5. Pascal Vincent
6. Kaiming He
7. Ilya Sutskever
8. Yann LeCun
9. Diederik P. Kingma
10. J. Urgen Schmidhuber

Papers from Jean Yee Hwa Yang's perspective

Ordered by how strongly the researchers Jean Yee Hwa Yang 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. Long Short-Term Memory
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Ensemble deep learning in bioinformatics (2020) — 303 citations