Jiashuo Liu

Artificial Intelligence · with Cui · 2021

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 138 citations into it
• Computer Vision and Pattern Recognition — 78 citations into it
• Safety, Robustness & Interpretability — 41 citations into it
• Statistics and Probability — 20 citations into it
• Management Science and Operations Research — 11 citations into it
• Causal Inference & Discovery — 9 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Jiashuo Liu trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Jan Peters
7. Yann LeCun
8. John C. Duchi
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Jiashuo Liu's perspective

Ordered by how strongly the researchers Jiashuo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Towards Out-Of-Distribution Generalization: A Survey (2021) — 709 citations