Hongbing Ouyang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Model Architectures — 6 citations into it
• Signal Processing — 5 citations into it; #5,199 of 7,572 by trust here, #6,836 by citations

Whom Hongbing Ouyang trusts overall

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

1. Yoshua Bengio
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Graves
6. Andrew Zisserman
7. Ilya Sutskever
8. Sepp Hochreiter
9. Ruhi Sarikaya
10. Alex Krizhevsky

Who trusts Hongbing Ouyang overall

1. Omer Berat Sezer

Papers from Hongbing Ouyang's perspective

Ordered by how strongly the researchers Hongbing Ouyang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Financial Time Series Prediction Based on Deep Learning (2017) — 145 citations