Yunzhe Li

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Biomedical Engineering — 15 citations into it
• Acoustics and Ultrasonics — 13 citations into it
• Biophysics — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Media Technology — 9 citations into it

Whom Yunzhe Li trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Matthew D. Zeiler
4. Joseph W. Goodman
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Alex Kendall
8. Ravid Shwartz-Ziv
9. Rob Fergus
10. Jimmy Ba

Papers from Yunzhe Li's perspective

Ordered by how strongly the researchers Yunzhe Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Going deeper with convolutions

Their papers

• High-speed in vitro intensity diffraction tomography (2019) — 89 citations
• Deep speckle correlation: a deep learning approach toward scalable imaging through scattering media (2018) — 434 citations