Yaran Chen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 35 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 — 8 citations into it
• Graph Learning — 6 citations into it

Whom Yaran Chen trusts overall

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

1. Liang-Chieh Chen
2. Ross B. Girshick
3. Kaiming He
4. Evan Shelhamer
5. Geoffrey E. Hinton
6. George Papandreou
7. Alex Krizhevsky
8. Thomas Kipf
9. Yann LeCun
10. Diederik P. Kingma

Papers from Yaran Chen's perspective

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

Their papers

• Graph-FCN for Image Semantic Segmentation (2019) — 154 citations