Yau-Shian Wang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #25,343 of 35,345 by trust here, #31,361 by citations
• Natural Language Processing — 15 citations into it; #4,187 of 5,688 by trust here, #5,296 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Generative Models — 5 citations into it; #1,480 of 1,956 by trust here, #1,875 by citations

Whom Yau-Shian Wang trusts overall

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

1. Jiwei Li
2. Yoshua Bengio
3. Dzmitry Bahdanau
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Oriol Vinyals
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Sumit Chopra
10. Yann LeCun

Who trusts Yau-Shian Wang overall

1. Thibault Févry
2. Jason Phang
3. Peter J. Liu
4. Daniel Kang

Papers from Yau-Shian Wang's perspective

Ordered by how strongly the researchers Yau-Shian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks (2018) — 67 citations