Yung-Shen Lin

Artificial Intelligence · 2014

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 — 9 citations into it
• Information Systems — 7 citations into it

Whom Yung-Shen Lin trusts overall

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

1. Thorsten Joachims
2. Dekang Lin
3. Fabrizio Sebastiani
4. Inderjit S. Dhillon
5. Jiawei Han
6. Min-Ling Zhang
7. Kamal Nigam
8. David D. Lewis
9. Andrew McCallum
10. Christian Bird

Who trusts Yung-Shen Lin overall

1. Xuelian Deng
2. Yuqing Li

Papers from Yung-Shen Lin's perspective

Ordered by how strongly the researchers Yung-Shen Lin 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
9. ImageNet: A large-scale hierarchical image database
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• A Similarity Measure for Text Classification and Clustering (2014) — 326 citations