Shoi Shi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computational Theory and Mathematics — 14 citations into it
• Materials Chemistry — 11 citations into it
• Computational Chemistry & Drug Discovery — 7 citations into it
• Molecular Biology — 7 citations into it
• Natural Language Processing — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Shoi Shi trusts overall

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

1. Diederik P. Kingma
2. Ilya Sutskever
3. Kaiming He
4. Geoffrey E. Hinton
5. Esben Jannik Bjerrum
6. Yoshua Bengio
7. Jimmy Ba
8. Alex Krizhevsky
9. Max Welling
10. Oriol Vinyals

Who trusts Shoi Shi overall

1. Yuanqi Du

Papers from Shoi Shi's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Going deeper with convolutions

Their papers

• SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery (2019) — 269 citations