Charles Yang

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Charles Yang trusts overall

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

1. Diederik P. Kingma
2. Pedro M. Domingos
3. Fabian Pedregosa
4. Jimmy Ba
5. C. Miehé
6. Wei Ma
7. Geoffrey E. Hinton

Papers from Charles Yang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Interpretable inverse design of particle spectral emissivity using machine learning (2020) — 3 citations
• Prediction of composite microstructure stress-strain curves using convolutional neural networks (2020) — 395 citations