Shulin Wang

Artificial Intelligence · with Cai · 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 — 25 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Molecular Biology — 15 citations into it

Whom Shulin Wang trusts overall

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

1. Robert Tibshirani
2. Hui Zou
3. Charles M. Bishop
4. Igor Kononenko
5. Franccois Fleuret
6. Tin Kam Ho
7. Huan Liu
8. Trevor J. Hastie
9. Isabelle M Guyon
10. Daniela M. Witten

Papers from Shulin Wang's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Random Forests
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. An Introduction to Variable and Feature Selection

Their papers

• Feature selection in machine learning: A new perspective (2018) — 1,812 citations