Wei Wang

Computer Vision and Pattern Recognition · 1 papers · 2017

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

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Wei Wang trusts overall

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

1. Li Deng
2. Ori Katz

Papers from Wei Wang's perspective

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

1. Deep Learning
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Stable signal recovery from incomplete and inaccurate measurements
4. The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Differential ghost imaging. (Physical Review Letters)
10. Ghost imaging lidar via sparsity constraints

Their papers

• Deep-learning-based ghost imaging (2017) — 365 citations