Ge Liu

Computer Vision and Pattern Recognition · with Gifford · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Molecular Biology — 8 citations into it; #9,317 of 17,773 by trust here, #9,727 by citations

Whom Ge Liu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Jian Zhou

Who trusts Ge Liu overall

1. Jordan Graves
2. Kevin Kaichuang Yang
3. Alex Finnegan

Papers from Ge Liu's perspective

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

Their papers

• Convolutional neural network architectures for predicting DNA–protein binding (2016) — 477 citations
• Antibody complementarity determining region design using high-capacity machine learning (2019) — 172 citations