Shisheng Zhong

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 Shisheng Zhong trusts overall

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

1. David L. Donoho
2. Kaiming He
3. X. Zhang

Papers from Shisheng Zhong's perspective

Ordered by how strongly the researchers Shisheng Zhong 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. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Network In Network
7. ImageNet: A large-scale hierarchical image database
8. Deep Learning
9. Squeeze-and-Excitation Networks
10. Long Short-Term Memory

Their papers

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