Zhiyuan Tang

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Signal Processing — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 5 citations into it

Whom Zhiyuan Tang trusts overall

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

1. Yoshua Bengio
2. Daniel Povey
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Alex Graves
6. Kyunghyun Cho
7. Kaiming He
8. Alex Krizhevsky
9. Yann LeCun
10. Ilya Sutskever

Papers from Zhiyuan Tang's perspective

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

Their papers

• Deep Speaker Feature Learning for Text-Independent Speaker Verification (2017) — 89 citations
• Memory visualization for gated recurrent neural networks in speech recognition (2016) — 56 citations