Yi Wu

Artificial Intelligence · with Beutel · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Information Systems — 35 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Management Science and Operations Research — 12 citations into it
• Recommender Systems — 11 citations into it
• Natural Language Processing — 10 citations into it
• Marketing — 7 citations into it

Whom Yi Wu trusts overall

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

1. Yehuda Koren
2. Julian McAuley
3. Ruslan Salakhutdinov
4. Nati Srebro
5. Yongfeng Zhang
6. Geoffrey E. Hinton
7. Yue Lu
8. Yoshua Bengio
9. Jason D. M. Rennie
10. Chong Wang

Papers from Yi Wu's perspective

Ordered by how strongly the researchers Yi Wu 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Fairness in Recommendation Ranking through Pairwise Comparisons (2019) — 457 citations
• Explainable recommendation with fusion of aspect information (2018) — 83 citations