Yiyong Hu

IEEE Transactions on Industrial Informatics · 2021

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

Whom Yiyong Hu trusts overall

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

1. Diederik P. Kingma
2. Nour Moustafa

Papers from Yiyong Hu's perspective

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

1. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2. Representation Learning: A Review and New Perspectives
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Stochastic Gradient VB and the Variational Auto-Encoder
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Variational LSTM Enhanced Anomaly Detection for Industrial Big Data (2021) — 346 citations