Qiong Ran

Media Technology · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 23 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it

Whom Qiong Ran trusts overall

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

1. Wei Li
2. Karen Simonyan
3. Kaiming He
4. Geoffrey E. Hinton
5. Yushi Chen
6. Alex Krizhevsky

Papers from Qiong Ran's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Dropout: a simple way to prevent neural networks from overfitting
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Multisource Remote Sensing Data Classification Based on Convolutional Neural Network (2018) — 614 citations