Chenyu Wang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Chenyu Wang trusts overall

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

1. David M. Blei
2. Ruslan Salakhutdinov
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Diederik P. Kingma

Papers from Chenyu Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Et al
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning (2017) — 123 citations