Siyu He

Astronomy and Astrophysics · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Astronomy and Astrophysics — 51 citations into it
• Artificial Intelligence — 34 citations into it
• Instrumentation — 15 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Optimization & Training — 9 citations into it

Whom Siyu He trusts overall

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

1. Diederik P. Kingma
2. M. White
3. Francisco-Shu Kitaura
4. Jimmy Ba
5. Jens Jasche
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yoshua Bengio
9. Yann LeCun
10. Kaiming He

Who trusts Siyu He overall

1. Frederik Kratzert

Papers from Siyu He's perspective

Ordered by how strongly the researchers Siyu He 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Quijote Simulations (2019) — 273 citations
• Learning to predict the cosmological structure formation (2018) — 192 citations
• CosmoFlow: Using Deep Learning to Learn the Universe at Scale (2018) — 138 citations
• Analysis of Cosmic Microwave Background with Deep Learning (2018) — 8 citations