Jinzhu Gao

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 33 citations into it
• Electrical and Electronic Engineering — 12 citations into it

Whom Jinzhu Gao trusts

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

1. G. Huang (in Artificial Intelligence)

Papers from Jinzhu Gao's perspective

Ordered by how strongly the researchers Jinzhu Gao 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• A review on neural networks with random weights (2018) — 470 citations