Yang Yang

Molecular Biology · with Ma · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 41 citations into it
• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 6 citations into it
• Optimization & Training — 6 citations into it
• Computational Biology & Bioinformatics — 5 citations into it

Whom Yang Yang trusts overall

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

1. Jerome H. Friedman
2. Stephen E. Robertson
3. Andrew P. Bradley
4. Sean Whalen
5. Gerard A. Salton
6. Radim Rehurek
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. Xavier Glorot
10. Yoshua Bengio

Who trusts Yang Yang overall

1. Shashank Singh
2. Manzil Zaheer

Papers from Yang Yang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Predicting enhancer-promoter interaction from genomic sequence with deep neural networks (2016) — 153 citations
• Exploiting sequence-based features for predicting enhancer–promoter interactions (2017) — 100 citations