Feng Liu

Molecular Biology · with Bo · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 60 citations into it
• Artificial Intelligence — 47 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it
• Optimization & Training — 19 citations into it
• Natural Language Processing — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Feng Liu trusts overall

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

1. Geoffrey E. Hinton
2. Paul J. Werbos
3. Alex Graves
4. Yoshua Bengio
5. J. Urgen Schmidhuber
6. Yann LeCun
7. Alex Krizhevsky
8. Ilya Sutskever
9. Ruslan Salakhutdinov
10. L. Eon Bottou

Who trusts Feng Liu overall

1. Yifeng Li
2. Kumardeep Chaudhary
3. Wenqiang Shi

Papers from Feng Liu's perspective

Ordered by how strongly the researchers Feng Liu 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• PEDLA: predicting enhancers with a deep learning-based algorithmic framework (2016) — 111 citations
• Deep Learning and Its Applications in Biomedicine (2018) — 524 citations