Haoran Dou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it
• Computer Vision and Pattern Recognition — 44 citations into it
• Optimization & Training — 14 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Civil and Structural Engineering — 6 citations into it
• Signal Processing — 5 citations into it

Whom Haoran Dou trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ross B. Girshick
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Christian Szegedy
10. Shaoqing Ren

Papers from Haoran Dou's perspective

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

Their papers

• Deep learning with noisy labels: exploring techniques and remedies in medical image analysis (2019) — 691 citations