Han Yu

Artificial Intelligence · with Cui · 2021

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 138 citations into it
• Computer Vision and Pattern Recognition — 78 citations into it
• Safety, Robustness & Interpretability — 41 citations into it
• Statistics and Probability — 20 citations into it
• Management Science and Operations Research — 11 citations into it
• Causal Inference & Discovery — 9 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Han Yu trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Jan Peters
6. Alex Krizhevsky
7. John C. Duchi
8. Yann LeCun
9. Ilya Sutskever

Papers from Han Yu's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Towards Out-Of-Distribution Generalization: A Survey (2021) — 709 citations