Yu Zhang
IEEE Transactions on Industrial Informatics · with Han · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Yu Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yu Zhang's perspective
Ordered by how strongly the researchers Yu Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Rectifier Nonlinearities Improve Neural Network Acoustic Models
- Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
- Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network (IEEE transactions on industrial electronics (1982. Print))
- Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning (IEEE Transactions on Industrial Informatics)
- Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing (IEEE Transactions on Industrial Informatics)
- An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings (Mechanical systems and signal processing)
- Deep Residual Shrinkage Networks for Fault Diagnosis (IEEE Transactions on Industrial Informatics)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)