Peng Wang

Control and Systems Engineering · Mechanical systems and signal processing · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 49 citations into it
• Artificial Intelligence — 27 citations into it
• Mechanical Engineering — 26 citations into it
• Mechanics of Materials — 16 citations into it

Whom Peng Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun

Who trusts Peng Wang overall

1. Jorge F. Arinez
2. Zhenghua Chen

Papers from Peng Wang's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. This PDF file includes: Materials and Methods
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Deep Architectures for AI
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• DCNN-Based Multi-Signal Induction Motor Fault Diagnosis (2020) — 356 citations
• Deep learning and its applications to machine health monitoring (2019) — 2,506 citations
• Long short-term memory for machine remaining life prediction (2018) — 411 citations