Hui Zhu

Artificial Intelligence · with Xu · 2019

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Model Architectures — 18 citations into it
• Optimization & Training — 10 citations into it
• Neural Architecture Search & AutoML — 6 citations into it

Whom Hui Zhu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Ilya Sutskever
5. Ilya Loshchilov
6. Quoc V. Le
7. Karen Simonyan
8. Yoshua Bengio
9. Barret Zoph
10. Kenneth O. Stanley

Papers from Hui Zhu's perspective

Ordered by how strongly the researchers Hui Zhu 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• EENA: Efficient Evolution of Neural Architecture (2019) — 47 citations