Yun Jiang

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Yun Jiang trusts overall

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

1. Alex Krizhevsky
2. Sergey Ioffe
3. Sergey Zagoruyko
4. Ilya Loshchilov
5. Terrance Devries
6. Christian Szegedy
7. Geoffrey E. Hinton
8. Kaiming He
9. Fabio Alexandre Spanhol
10. Jie Hu

Who trusts Yun Jiang overall

1. Zewen Li
2. Yahui Jiang
3. Erkan Deniz

Papers from Yun Jiang's perspective

Ordered by how strongly the researchers Yun Jiang 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. Learning Multiple Layers of Features from Tiny Images
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module (2019) — 340 citations