Ye Yuan

Artificial Intelligence · with Ma · 2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #34,387 of 35,345 by trust here, #23,077 by citations
• Computer Vision and Pattern Recognition — 17 citations into it
• Natural Language Processing — 6 citations into it

Whom Ye Yuan trusts overall

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

1. Yaroslav Ganin
2. Geoffrey E. Hinton
3. Karen Simonyan

Who trusts Ye Yuan overall

1. Xinyi Zhou

Papers from Ye Yuan's perspective

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

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

Their papers

• EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection (2018) — 1,234 citations
• Towards Environment Independent Device Free Human Activity Recognition (2018) — 543 citations