Fei Wang

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it

Whom Fei Wang trusts overall

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

1. Jimmy de la Torre
2. Christine E. DeMars
3. Andrew P. Bradley
4. Junbo Jake Zhao
5. Yehuda Koren
6. Mingyu Feng
7. Yann LeCun
8. William Chan
9. C. Piech
10. Geoffrey E. Hinton

Papers from Fei Wang's perspective

Ordered by how strongly the researchers Fei Wang 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Neural Cognitive Diagnosis for Intelligent Education Systems (2019) — 345 citations