Luyang Jing

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it

Whom Luyang Jing trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. James Bergstra
4. Alex Krizhevsky
5. Zhiqiang Chen
6. Yann LeCun
7. J. Urgen Schmidhuber
8. Ross B. Girshick
9. Karen Simonyan
10. Ilya Sutskever

Who trusts Luyang Jing overall

1. Jinyang Jiao
2. Te Han
3. Chao Liu
4. Ming Zhao

Papers from Luyang Jing's perspective

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

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

Their papers

• An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox (2017) — 346 citations
• A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox (2017) — 640 citations