Jun Hu

Artificial Intelligence · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Management Science and Operations Research — 9 citations into it

Whom Jun Hu trusts overall

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

1. Kaiming He

Papers from Jun Hu's perspective

Ordered by how strongly the researchers Jun Hu 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Dropout: a simple way to prevent neural networks from overfitting
6. Densely Connected Convolutional Networks
7. Identity Mappings in Deep Residual Networks
8. Gradient-based learning applied to document recognition
9. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
10. Deep Learning

Their papers

• Short-Term Load Forecasting With Deep Residual Networks (2018) — 542 citations