Shoule Wu

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Signal Processing — 12 citations into it
• Generative Models — 11 citations into it
• Speech & Audio — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Shoule Wu trusts overall

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

1. Diederik P. Kingma
2. Pascal Vincent
3. Yang Song
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Jean-Marc Valin
7. Aäron van den Oord
8. Jimmy Ba
9. Ryan J. Prenger
10. Aapo Hyvärinen

Who trusts Shoule Wu overall

1. Ya-Zhen Song
2. Zhuo Chen

Papers from Shoule Wu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
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

• ItôWave: Itô Stochastic Differential Equation is all You Need for Wave Generation (2022) — 10 citations