Shenyang Huang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #27,561 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Optimization & Training — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Shenyang Huang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Alex Krizhevsky
6. Barret Zoph
7. Jimmy Ba
8. Ilya Sutskever
9. Nitish Srivastava
10. Quoc V. Le

Who trusts Shenyang Huang overall

1. Yaoyao Liu
2. Bernt Schiele

Papers from Shenyang Huang's perspective

Ordered by how strongly the researchers Shenyang Huang 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Neural Architecture Search for Class-incremental Learning (2019) — 20 citations