Ye Liu

Computer Vision and Pattern Recognition · with Lai · 2015

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #9,610 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 6 citations into it

Whom Ye Liu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ruslan Salakhutdinov
4. Ilya Sutskever
5. Brian Kulis
6. Mohammad Norouzi
7. Yoshua Bengio
8. Wei David Liu
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Ye Liu overall

1. Mingsheng Long
2. Jianmin Wang
3. Shiv Ram Dubey
4. Jingkuan Song

Papers from Ye Liu's perspective

Ordered by how strongly the researchers Ye 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. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
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. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Simultaneous feature learning and hash coding with deep neural networks (2015) — 854 citations