Shan Luo

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Biomedical Engineering — 13 citations into it
• Reinforcement Learning — 13 citations into it
• Cognitive Neuroscience — 11 citations into it

Whom Shan Luo trusts overall

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

1. Ronald J. Williams
2. David G. Lowe
3. Geoffrey E. Hinton
4. John Schulman
5. Ravinder S. Dahiya
6. Yoshua Bengio
7. Mohit Sewak
8. Jeremy A. Fishel
9. Susan J. Lederman
10. Vinod Nair

Who trusts Shan Luo overall

1. Srijita Das

Papers from Shan Luo's perspective

Ordered by how strongly the researchers Shan Luo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Robotic Tactile Perception of Object Properties: A Review (2017) — 418 citations
• Neural Logic Reinforcement Learning (2019) — 92 citations