Bei-ke Zhang
Control and Systems Engineering · 2020
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 5 citations into it
Whom Bei-ke Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bei-ke Zhang's perspective
Ordered by how strongly the researchers Bei-ke Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Visualizing Data using t-SNE
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Bearing fault diagnosis base on multi-scale CNN and LSTM model (2020) — 652 citations