Xue Liu

Artificial Intelligence · with Qin · 2020

A researcher in the Science corpus: 1 paper; trusts 115 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it
• Safety, Robustness & Interpretability — 65 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Signal Processing — 15 citations into it
• Model Architectures — 5 citations into it

Whom Xue Liu trusts overall

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

1. Ian J. Goodfellow
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Christian Szegedy
6. Radford M. Neal
7. Yoshua Bengio
8. Karen Simonyan
9. Yann LeCun
10. Ilya Sutskever

Papers from Xue Liu's perspective

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

Their papers

• Adversarial Attacks and Defenses in Deep Learning (2020) — 650 citations