Shaowen Yao

Artificial Intelligence · with Dong · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• General Social Sciences — 5 citations into it
• Natural Language Processing — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Shaowen Yao trusts overall

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

1. David M. Blei
2. Michael I. Jordan
3. Thomas Hofmann
4. T. Griffiths

Papers from Shaowen Yao's perspective

Ordered by how strongly the researchers Shaowen Yao 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. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Latent Dirichlet Allocation
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• An overview of topic modeling and its current applications in bioinformatics (2016) — 392 citations