Ke Liu

Molecular Biology · with Sun · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 13 citations into it

Whom Ke Liu trusts overall

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

1. Roland L. Dunbrack
2. Shide Liang
3. Daniel Maturana
4. M. Bower
5. Adrian A. Canutescu
6. Georgii G. Krivov
7. Songtao Wu
8. Carol A. Rohl
9. Junshui Ma
10. Gerard J. Kleywegt

Who trusts Ke Liu overall

1. Mengying Sun

Papers from Ke Liu's perspective

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

1. Human-level control through deep reinforcement learning
2. The penultimate rotamer library
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Prediction of amino acid side chain conformation using a deep neural network (2017) — 17 citations
• Chemi-net: a graph convolutional network for accurate drug property prediction (2018) — 31 citations