Shunyan Weng

Molecular Biology · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 24 citations into it; #13,532 of 17,773 by trust here, #13,891 by citations
• Materials Chemistry — 13 citations into it

Whom Shunyan Weng trusts overall

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

1. James Martens
2. Sheng Wang
3. Tom Fawcett
4. Bohdan Monastyrskyy
5. Jian Peng
6. David T. Jones
7. Geoffrey E. Hinton
8. Christopher J. Oldfield
9. Guoli Wang
10. Behnam Neyshabur

Who trusts Shunyan Weng overall

1. Sheng Wang
2. Fanchi Meng

Papers from Shunyan Weng's perspective

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

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

Their papers

• DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields (2015) — 67 citations