Xiyuan Hu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Xiyuan Hu trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Jia Deng
5. Ross B. Girshick
6. Tsung-Yi Lin
7. Christian Szegedy
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Papers from Xiyuan Hu's perspective

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

Their papers

• Balanced Knowledge Distillation for Long-tailed Learning (2021) — 91 citations