Xu-yun Fu

IEEE Transactions on Industrial Informatics · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Xu-yun Fu trusts overall

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

1. David L. Donoho
2. Kaiming He

Papers from Xu-yun Fu's perspective

Ordered by how strongly the researchers Xu-yun Fu 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Identity Mappings in Deep Residual Networks
4. Network In Network
5. Squeeze-and-Excitation Networks
6. Deep Learning
7. Gradient-based learning applied to document recognition
8. ImageNet classification with deep convolutional neural networks
9. Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks (IEEE transactions on industrial electronics (1982. Print))
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Residual Shrinkage Networks for Fault Diagnosis (2020) — 1,184 citations