W. Yu

Mechanical Engineering · with Mechefske · 2019

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

Subfields

• Mechanical Engineering — 17 citations into it

Whom W. Yu trusts overall

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

1. Jing Liu

Papers from W. Yu's perspective

Ordered by how strongly the researchers W. Yu 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. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Going deeper with convolutions

Their papers

• Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme (2019) — 330 citations
• A statistical feature investigation of the spalling propagation assessment for a ball bearing (2019) — 145 citations
• A New Model for the Single Mesh Stiffness Calculation of Helical Gears Using the Slicing Principle (2019) — 50 citations