Shuying Liu

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #5,299 of 21,575 by trust here, #13,269 by citations
• Model Architectures — 7 citations into it
• Artificial Intelligence — 6 citations into it; #7,065 of 35,345 by trust here, #19,873 by citations

Whom Shuying Liu trusts overall

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

1. Alex Krizhevsky
2. Andrew L. Maas
3. Kaiming He
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. Matthew D. Zeiler
7. Christian Szegedy
8. Ilya Sutskever
9. Jia Deng
10. Yann LeCun

Who trusts Shuying Liu overall

1. Yonatan Geifman
2. Srivatsa Kundurthy
3. Mengying Shu
4. Ran El-Yaniv
5. Guy Hacohen
6. Maria Rigaki
7. Heinrich Jiang
8. Mohamed Loey
9. S. H. Shabbeer Basha
10. D. Dais

Papers from Shuying Liu's perspective

Ordered by how strongly the researchers Shuying Liu 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Very deep convolutional neural network based image classification using small training sample size (2015) — 991 citations