Li Li

Artificial Intelligence · with Burke · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Statistical Learning Theory — 13 citations into it
• Statistics and Probability — 6 citations into it

Whom Li Li trusts overall

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

1. Bernhard Schölkopf
2. Vladimir Naumovich Vapni
3. K. Müller
4. James Franklin
5. Fabrizio Sebastiani
6. Alex Smola
7. Katja Hansen
8. Matthias Rupp 
9. Sebastian Mika
10. John C. Snyder

Who trusts Li Li overall

1. John C. Snyder
2. Kevin Ryczko
3. Anuj Karpatne

Papers from Li Li's perspective

Ordered by how strongly the researchers Li Li 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Bypassing the Kohn-Sham equations with machine learning (2016) — 663 citations
• Understanding Machine-learned Density Functionals (2014) — 164 citations