Michael Ku Yu

Molecular Biology · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 45 citations into it
• Computational Biology & Bioinformatics — 7 citations into it

Whom Michael Ku Yu trusts overall

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

1. Janusz Dutkowski
2. Michael Kramer
3. Philip Resnik
4. Trey Ideker
5. Trevor J. Hastie
6. Anastasia Baryshnikova
7. Catia Pesquita
8. Edward J. O'Brien
9. Yoshua Bengio
10. Guillaume Alain

Who trusts Michael Ku Yu overall

1. Jianzhu Ma
2. Marinka Zitnik

Papers from Michael Ku Yu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Translation of Genotype to Phenotype by a Hierarchy of Cell Subsystems (2016) — 77 citations
• Using deep learning to model the hierarchical structure and function of a cell (2018) — 391 citations
• Inferring gene ontologies from pairwise similarity data (2014) — 87 citations