Xu Han

Artificial Intelligence · with Ding · 2020

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Xu Han trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. J. Platt
5. Gabriel J. Brostow
6. Alex Krizhevsky
7. Yoshua Bengio
8. Bianca Zadrozny
9. Yann LeCun
10. Jimmy Ba

Who trusts Xu Han overall

1. Qin Liu

Papers from Xu Han's perspective

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

Their papers

• Local Temperature Scaling for Probability Calibration (2020) — 122 citations