MingWen Liu

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 6 citations into it

Whom MingWen Liu trusts overall

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

1. Alex Krizhevsky

Papers from MingWen Liu's perspective

Ordered by how strongly the researchers MingWen Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Dropout: a simple way to prevent neural networks from overfitting
4. Deep Learning
5. Mastering the game of Go without human knowledge
6. Deep Speech: Scaling up end-to-end speech recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Attention is All you Need (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• A Machine Learning Framework for Stock Selection (2018) — 32 citations