Wu Wang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Wu Wang trusts overall

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

1. Jerome H. Friedman
2. Leo Breiman
3. Resul Das
4. Sergey Ioffe
5. Peter Buhlmann
6. Trevor J. Hastie
7. Peter Drotár
8. Christian Szegedy
9. Torsten Hothorn
10. Richard A. Olshen

Papers from Wu Wang's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Long Short-Term Memory
9. Going deeper with convolutions
10. A unified architecture for natural language processing: deep neural networks with multitask learning

Their papers

• Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning (2020) — 298 citations