Yan Zhao

Artificial Intelligence · with Cao · 2020

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

Subfields

• Artificial Intelligence — 23 citations into it

Whom Yan Zhao trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Kaiming He
4. Geoffrey E. Hinton
5. Xavier Glorot
6. Ilya Sutskever
7. Tomas Mikolov
8. Jimmy Ba
9. Alex Krizhevsky

Papers from Yan Zhao's perspective

Ordered by how strongly the researchers Yan Zhao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Multi-modal Knowledge Graphs for Recommender Systems (2020) — 337 citations