Sidong Liu

Artificial Intelligence · 2014

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Optimization & Training — 9 citations into it

Whom Sidong Liu trusts overall

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

1. Yoshua Bengio
2. Chih-Jen Lin
3. Geoffrey E. Hinton
4. Marc'Aurelio Ranzato
5. Yann LeCun
6. James Bergstra
7. Quoc V. Le
8. Pascal Vincent
9. Alex Krizhevsky
10. Hui Zou

Who trusts Sidong Liu overall

1. Jyoti Islam
2. Jonathan G. Richens
3. Devinder Kumar

Papers from Sidong Liu's perspective

Ordered by how strongly the researchers Sidong Liu 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. 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multi-Modal Neuroimaging Feature Learning for Multi-Class Diagnosis of Alzheimer’s Disease (2014) — 524 citations
• Early diagnosis of Alzheimer's disease with deep learning (2014) — 489 citations