Dong Yuan

Artificial Intelligence · with Bao · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Dong Yuan trusts overall

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

1. Brian Kulis
2. Min-Ling Zhang
3. Kaare Brandt Petersen
4. Matthew R. Boutell
5. Konstantinos Trohidis
6. Pinar Duygulu Sahin
7. Koby Crammer
8. Zhi-Hua Zhou
9. Lefei Zhang

Who trusts Dong Yuan overall

1. Guangchen Shi

Papers from Dong Yuan's perspective

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

Their papers

• Online Metric Learning for Multi-Label Classification (2020) — 15 citations