Zihan Ye

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 27 citations into it

Whom Zihan Ye trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Arslan Chaudhry
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Marc'Aurelio Ranzato

Papers from Zihan Ye's perspective

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

Their papers

• Multi-Domain Multi-Task Rehearsal for Lifelong Learning (2020) — 35 citations