Shuangyao Zhao

Artificial Intelligence Review · 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 Shuangyao Zhao trusts overall

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

1. Sohag Kabir

Papers from Shuangyao Zhao's perspective

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

1. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
2. Learning Precise Timing with LSTM Recurrent Networks
3. An overview of fault tree analysis and its application in model based dependability analysis (Expert systems with applications)
4. Deep Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Dynamic bayesian networks: representation, inference and learning
7. This PDF file includes: Materials and Methods
8. Rectified Linear Units Improve Restricted Boltzmann Machines
9. Probabilistic reasoning in intelligent systems - networks of plausible inference
10. Representation Learning: A Review and New Perspectives

Their papers

• A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems (2021) — 380 citations