Long Wang

Artificial Intelligence · with Liu · 2017

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 — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Long Wang trusts overall

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

1. Robert Tibshirani
2. Thomas G. Dietterich
3. Naomi S. Altman
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Nitish Srivastava
7. B. Recht
8. Alex Krizhevsky
9. Harris Drucker
10. Ilya Sutskever

Who trusts Long Wang overall

1. Weiting Zhang
2. Adrian Stetco
3. Dong Yang

Papers from Long Wang's perspective

Ordered by how strongly the researchers Long Wang 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Dropout: a simple way to prevent neural networks from overfitting
10. Going deeper with convolutions

Their papers

• Wind Turbine Gearbox Failure Identification With Deep Neural Networks (2017) — 295 citations