Yu-Siang Wang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 78 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Natural Language Processing — 17 citations into it
• Multimodal Learning — 15 citations into it

Whom Yu-Siang Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Kaiming He
6. Li Fei-Fei
7. Ilya Sutskever
8. Ranjay Krishna
9. Yann LeCun
10. Ross B. Girshick

Who trusts Yu-Siang Wang overall

1. Xu Yang
2. Jiuxiang Gu
3. Wei Li
4. Fei Yu
5. Kaihua Tang

Papers from Yu-Siang Wang's perspective

Ordered by how strongly the researchers Yu-Siang Wang 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Scene Graph Parsing as Dependency Parsing (2018) — 59 citations