Wei Yang

Journal of Computers · with Wang · 2012

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Wei Yang trusts overall

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

1. Yijun Sun
2. Olivier Chapelle
3. Ran Gilad-Bachrach
4. Jacob Goldberger
5. Jason Aaron Edward Weston
6. Alexander R. Statnikov
7. Vladimir Naumovich Vapnik
8. Geoffrey E. Hinton
9. Sayan Mukherjee
10. Sam T. Roweis

Papers from Wei Yang's perspective

Ordered by how strongly the researchers Wei Yang 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Neighborhood Component Feature Selection for High-Dimensional Data (2012) — 515 citations