Qi-hui Wu

Reinforcement Learning · 2012–2016

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

Subfields

• Reinforcement Learning — 5 citations into it

Whom Qi-hui Wu trusts overall

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

1. Yoshua Bengio
2. Richard S. Sutton
3. Geoffrey E. Hinton
4. L. V. D. van der Maaten
5. Xue-wen Chen
6. Radford M. Neal
7. Alex Krizhevsky
8. Yann LeCun
9. Zhouchen Lin
10. Volkan Cevher

Who trusts Qi-hui Wu overall

1. Reihaneh H. Hariri
2. M. Mohammadi

Papers from Qi-hui Wu's perspective

Ordered by how strongly the researchers Qi-hui Wu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games (2012) — 320 citations
• A survey of machine learning for big data processing (2016) — 846 citations