Shuhui Qu

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Signal Processing — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Shuhui Qu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Christian Szegedy
5. Karen Simonyan
6. Kaiming He
7. Yoshua Bengio
8. Ilya Sutskever
9. Sergey Ioffe
10. Xavier Glorot

Papers from Shuhui Qu's perspective

Ordered by how strongly the researchers Shuhui Qu 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. Going deeper with convolutions
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Very deep convolutional neural networks for raw waveforms (2016) — 392 citations