Yaoxin Wu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Model Architectures — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Reinforcement Learning — 7 citations into it

Whom Yaoxin Wu trusts overall

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

1. Ronald J. Williams
2. Kaiming He
3. Keld Helsgaun
4. Yoshua Bengio
5. Sergey Ioffe
6. Oriol Vinyals
7. Gerhard Reinelt
8. Geoffrey E. Hinton
9. Dzmitry Bahdanau
10. Christian Szegedy

Who trusts Yaoxin Wu overall

1. Nina Mazyavkina

Papers from Yaoxin Wu's perspective

Ordered by how strongly the researchers Yaoxin Wu 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. ImageNet classification with deep convolutional neural networks
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Improvement Heuristics for Solving Routing Problems (2019) — 420 citations