Steven Guan

Artificial Intelligence · 2018

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 — 10 citations into it
• Model Architectures — 6 citations into it

Whom Steven Guan trusts overall

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

1. Sergey Ioffe
2. Yulia Hristova
3. Rasool Fakoor
4. Christian Szegedy
5. Paul C. Beard
6. Peter Kuchment
7. Faisal Ladhak
8. Alex Krizhevsky

Who trusts Steven Guan overall

1. Liangzhi Li
2. Tao Lei

Papers from Steven Guan's perspective

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

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

Their papers

• Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal (2018) — 497 citations