Jiong Tang

IEEE Access · 2017

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 Jiong Tang trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton

Papers from Jiong Tang's perspective

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

1. Dropout: a simple way to prevent neural networks from overfitting
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
5. Gradient-based learning applied to document recognition
6. On the importance of initialization and momentum in deep learning
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. How transferable are features in deep neural networks?
10. Long Short-Term Memory

Their papers

• Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning (2017) — 372 citations