Weiwei Xing

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 15 citations into it
• Generative Models — 8 citations into it

Whom Weiwei Xing trusts overall

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

1. Jost Tobias Springenberg
2. Yann LeCun
3. Individualized Treat
4. Alex Krizhevsky
5. Yoshua Bengio
6. Samuli Laine
7. Geoffrey E. Hinton

Papers from Weiwei Xing's perspective

Ordered by how strongly the researchers Weiwei Xing 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. GENERATIVE ADVERSARIAL NETS
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Improved Techniques for Training GANs
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• An Incremental Self-Labeling Strategy for Semi-Supervised Deep Learning Based on Generative Adversarial Networks (2020) — 14 citations