Deyu Zhou

Molecular Biology · 2008–2019

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 26 citations into it
• Artificial Intelligence — 20 citations into it
• Generative Models — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Natural Language Processing — 7 citations into it

Whom Deyu Zhou trusts overall

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

1. Daniel Klein
2. Diederik P. Kingma
3. Lynette Hirschman
4. Irena Spasic
5. Geoffrey E. Hinton
6. Razvan C. Bunescu
7. Christopher D. Manning
8. Gary D. Bader
9. Takeru Miyato
10. L. V. D. van der Maaten

Who trusts Deyu Zhou overall

1. J. Sáez-Rodríguez
2. Leonidas G. Alexopoulos

Papers from Deyu Zhou's perspective

Ordered by how strongly the researchers Deyu Zhou 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. GENERATIVE ADVERSARIAL NETS
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Extracting interactions between proteins from the literature (2008) — 98 citations
• Open Event Extraction from Online Text using a Generative Adversarial Network (2019) — 46 citations