Yu He

Artificial Intelligence · with Bao · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Natural Language Processing — 19 citations into it

Whom Yu He trusts overall

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

1. Tomas Mikolov
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. Yoon Kim
7. Yiming Yang
8. Yann LeCun
9. Thorsten Joachims

Papers from Yu He's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Efficient Estimation of Word Representations in Vector Space
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN (2018) — 436 citations