Yonghua Zheng
Control and Systems Engineering · with Liu · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 15 citations into it
- Mechanical Engineering — 7 citations into it
Whom Yonghua Zheng trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Prasanna Tamilselvan (in Control and Systems Engineering)
- Pingfeng Wang (in Control and Systems Engineering)
Papers from Yonghua Zheng's perspective
Ordered by how strongly the researchers Yonghua Zheng trusts endorse each paper. Same corpus, a different order for every researcher.
- How transferable are features in deep neural networks?
- A Survey on Transfer Learning
- Deep Learning
- A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis (IEEE Transactions on Systems, Man & Cybernetics. Systems)
- Deep Domain Confusion: Maximizing for Domain Invariance
- A Kernel Two-Sample Test
- Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions (IEEE Access)
- Reengineering Aircraft Structural Life Prediction Using a Digital Twin
- Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application (ISA transactions)
- Failure diagnosis using deep belief learning based health state classification
Their papers
- A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning (2019) — 415 citations