Li Yun

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Information Systems — 9 citations into it
• Natural Language Processing — 5 citations into it

Whom Li Yun trusts overall

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

1. David M. Blei

Papers from Li Yun's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. GloVe: Global Vectors for Word Representation
3. Latent Dirichlet Allocation
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Short Text Topic Modeling Techniques, Applications, and Performance: A Survey (2019) — 307 citations