Long Gao

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Long Gao trusts overall

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

1. Radford M. Neal
2. Diederik P. Kingma
3. Ulrike von Luxburg
4. Yann LeCun
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Dima Damen
8. Jimmy Ba
9. Ross B. Girshick
10. L. Eon Bottou

Who trusts Long Gao overall

1. Yanbei Chen
2. Xifeng Guo
3. Xu Yang
4. Yihan Wu

Papers from Long Gao's perspective

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

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

Their papers

• Improved Deep Embedded Clustering with Local Structure Preservation (2017) — 1,034 citations