Hao Sun

Artificial Intelligence · with Ding · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Optimization & Training — 11 citations into it
• Model Architectures — 10 citations into it

Whom Hao Sun trusts overall

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

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

Papers from Hao Sun's perspective

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

Their papers

• Adaptive Regularization of Labels (2019) — 33 citations