Jiawen Wu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Generative Models — 14 citations into it
• Artificial Intelligence — 10 citations into it

Whom Jiawen Wu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Nitish Srivastava
4. Ruslan Salakhutdinov
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yann LeCun
8. Sergey Ioffe
9. Danilo Jimenez Rezende
10. Radford M. Neal

Papers from Jiawen Wu's perspective

Ordered by how strongly the researchers Jiawen 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning Generator Networks for Dynamic Patterns (2019) — 10 citations