Donghan M. Yang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; 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 Donghan M. Yang 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 Donghan M. Yang's perspective

Ordered by how strongly the researchers Donghan M. Yang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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