Li-li Wen

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Li-li Wen trusts overall

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

1. Josh Tenenbaum
2. Eric R. Ziegel
3. Xiaofei He
4. Sam T. Roweis
5. Mikhail Belkin
6. Partha Niyogi

Papers from Li-li Wen's perspective

Ordered by how strongly the researchers Li-li Wen 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. Gradient-based learning applied to document recognition
4. Nonlinear dimensionality reduction by locally linear embedding.
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Dimensionality reduction on Anchorgraph with an efficient Locality Preserving Projection (2016) — 30 citations