Feijie Wu

Optimization & Training · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 15 citations into it
• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Feijie Wu trusts overall

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

1. Alex Krizhevsky
2. Hao Yu
3. Xiangru Lian
4. Karen Simonyan
5. Peter Elias
6. Kaiming He
7. L. Eon Bottou
8. Ce Zhang
9. Pitch Patarasuk
10. Andrew Zisserman

Who trusts Feijie Wu overall

1. Jianyu Wang

Papers from Feijie Wu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• On the Convergence of Quantized Parallel Restarted SGD for Serverless Learning (2020)