Siyi Zhu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Molecular Biology — 11 citations into it

Whom Siyi Zhu trusts overall

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

1. Olivier Bodenreider
2. Eric J. Topol
3. Diederik P. Kingma
4. L. V. D. van der Maaten
5. Geoffrey E. Hinton
6. John A. Bullinaria
7. Shaosheng Cao

Who trusts Siyi Zhu overall

1. Clémence Réda

Papers from Siyi Zhu's perspective

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

1. Auto-Encoding Variational Bayes (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. Attention is All you Need (Neural Information Processing Systems)
5. Visualizing Data using t-SNE
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• deepDR: a network-based deep learning approach to in silico drug repositioning (2019) — 460 citations