Ning Liu

Artificial Intelligence · with Xu · 2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Statistics and Probability — 15 citations into it
• Reinforcement Learning — 13 citations into it

Whom Ning Liu trusts overall

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

1. Yoshua Bengio
2. Richard S. Sutton
3. Sepp Hochreiter
4. Volodymyr Mnih
5. David Silver
6. J. Urgen Schmidhuber
7. Alex Graves
8. Andrew Barto
9. Christopher J. C. H. Watkins
10. Geoffrey E. Hinton

Who trusts Ning Liu overall

1. Md. Zahangir Alom

Papers from Ning Liu's perspective

Ordered by how strongly the researchers Ning 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
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. 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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data (2017) — 117 citations
• A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning (2017) — 279 citations