Huizhi Liang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• Natural Language Processing — 10 citations into it

Whom Huizhi Liang trusts overall

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

1. Yoon Kim
2. Geoffrey E. Hinton
3. Leila Arras
4. Grgoire Montavon
5. Finale Doshi-Velez
6. Yoshua Bengio
7. Ronan Collobert
8. Yann LeCun
9. Alex Krizhevsky
10. Diederik P. Kingma

Papers from Huizhi Liang's perspective

Ordered by how strongly the researchers Huizhi Liang 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Explainable Sentiment Analysis with Applications in Medicine (2018) — 43 citations