Yang Feng

Artificial Intelligence · with Shi · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 5 citations into it

Whom Yang Feng trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Alex Graves
5. Daniel Povey
6. Kyunghyun Cho

Papers from Yang Feng's perspective

Ordered by how strongly the researchers Yang Feng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Visualizing and Understanding Convolutional Networks

Their papers

• Memory visualization for gated recurrent neural networks in speech recognition (2016) — 56 citations