Yu Wang

Comput. Biol. Chem. · with Facius · 2005

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

Whom Yu Wang trusts overall

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

1. Vladimir Naumovich Vapnik
2. Eric P. Xing
3. Michael I. Jordan

Who trusts Yu Wang overall

1. Zena M. Hira
2. Yvan Saeys
3. Verónica Bolón-Canedo
4. Cosmin Lazar
5. Duncan Fyfe Gillies
6. Iñaki Inza

Papers from Yu Wang's perspective

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

1. Statistical learning theory
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. Feature selection for high-dimensional genomic microarray data
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)

Their papers

• Gene selection from microarray data for cancer classification - a machine learning approach (2005) — 438 citations