Xiaoshan Yang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 172 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #30,370 of 35,345 by trust here, #32,362 by citations
• Computer Vision and Pattern Recognition — 31 citations into it; #18,618 of 21,575 by trust here, #20,271 by citations
• Representation & Self-Supervised Learning — 21 citations into it; #2,755 of 3,145 by trust here, #3,047 by citations
• Multimodal Learning — 10 citations into it; #984 of 1,211 by trust here, #1,190 by citations
• Natural Language Processing — 5 citations into it

Whom Xiaoshan Yang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Sinno Jialin Pan
6. Yann LeCun
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ruslan Salakhutdinov
10. Ross B. Girshick

Who trusts Xiaoshan Yang overall

1. Dima Damen
2. Jonathan Munro

Papers from Xiaoshan Yang's perspective

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

Their papers

• A Unified Framework for Multimodal Domain Adaptation (2018) — 69 citations