Shumin Li

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 20 citations into it
• Computational Biology & Bioinformatics — 11 citations into it
• Model Architectures — 6 citations into it
• Artificial Intelligence — 5 citations into it
• Materials Chemistry — 5 citations into it

Whom Shumin Li trusts overall

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

1. John Moult
2. Sepp Hochreiter
3. Alex Graves
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. L. V. D. van der Maaten
7. Xavier Glorot
8. Weizhong Li
9. Yoshua Bengio
10. Michael Gribskov

Who trusts Shumin Li overall

1. Nils Strodthoff
2. Patrick Wagner

Papers from Shumin Li's perspective

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

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

Their papers

• Protein remote homology detection based on bidirectional long short-term memory (2017) — 62 citations