Yueming Wang

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yueming Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Pascal Vincent
5. Weifeng Liu
6. L. Eon Bottou
7. Hugo Larochelle
8. Ran He
9. Alex Krizhevsky
10. Marc'Aurelio Ranzato

Papers from Yueming Wang's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. A Fast Learning Algorithm for Deep Belief Nets
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Recent Trends in (2021)
• Robust feature learning by stacked autoencoder with maximum correntropy criterion (2014) — 83 citations