Yin Li

Astronomy and Astrophysics · with Feng · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Astronomy and Astrophysics — 83 citations into it
• Artificial Intelligence — 34 citations into it
• Instrumentation — 31 citations into it
• Nuclear and High Energy Physics — 26 citations into it
• Statistical and Nonlinear Physics — 17 citations into it

Whom Yin Li trusts overall

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

1. M. White
2. Diederik P. Kingma
3. Francisco-Shu Kitaura
4. R. Scoccimarro
5. Volker Springel
6. Julien Lesgourgues
7. Jens Jasche
8. Jimmy Ba
9. Geoffrey E. Hinton
10. Zachary Slepian

Papers from Yin Li's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure (2017) — 204 citations
• The Quijote Simulations (2019) — 273 citations
• Learning to predict the cosmological structure formation (2018) — 192 citations