Ruichen Rong

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 31 citations into it
• Optimization & Training — 11 citations into it

Whom Ruichen Rong trusts overall

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

1. Ross B. Girshick
2. Geoffrey E. Hinton
3. L. Eon Bottou
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Yurii E. Nesterov
8. Jimmy Ba
9. Yann LeCun
10. Diederik P. Kingma

Papers from Ruichen Rong's perspective

Ordered by how strongly the researchers Ruichen Rong 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Pathology Image Analysis Using Segmentation Deep Learning Algorithms. (2019) — 332 citations
• Evidence of Uncultivated Bacteria in the Adult Female Bladder (2012) — 615 citations