Guoqian Jiang

Control and Systems Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 14 citations into it
• Artificial Intelligence — 6 citations into it

Whom Guoqian Jiang trusts overall

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

1. Geoffrey E. Hinton
2. Madalena Costa
3. Diederik P. Kingma
4. Vinod Nair
5. L. V. D. van der Maaten
6. Zhicheng Cui
7. Nitish Srivastava
8. Alex Krizhevsky
9. Ruqiang Yan
10. Jimmy Ba

Papers from Guoqian Jiang's perspective

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

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

Their papers

• Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox (2019) — 728 citations