Xiao Hu

Artificial Intelligence · with Ma · 2020

A researcher in the Science corpus: 1 paper; trusts 250 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it

Whom Xiao Hu trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Zeynep Akata
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yongqin Xian
8. Christoph H. Lampert
9. Jia Deng
10. Yann LeCun

Papers from Xiao Hu's perspective

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

Their papers

• A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning (2020) — 45 citations