Yinchong Yang

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 69 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 — 21 citations into it
• Model Architectures — 17 citations into it
• Natural Language Processing — 10 citations into it
• Medical & Health AI — 7 citations into it

Whom Yinchong Yang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ilya Sutskever
5. Yann LeCun
6. Kyunghyun Cho
7. Alex Graves
8. Volodymyr Mnih
9. Dzmitry Bahdanau
10. Ross B. Girshick

Who trusts Yinchong Yang overall

1. Wojciech Samek
2. Khansa Rasheed
3. Grgoire Montavon
4. Leila Arras

Papers from Yinchong Yang's perspective

Ordered by how strongly the researchers Yinchong Yang 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks (2018) — 79 citations
• Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks (2016) — 171 citations