Biao Wang

Control and Systems Engineering · with Li · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 24 citations into it
• Safety, Risk, Reliability and Quality — 12 citations into it
• Mechanics of Materials — 9 citations into it

Whom Biao Wang trusts overall

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

1. Naipeng Li
2. Michael E. Tipping
3. Linxia Liao
4. Yaguo Lei
5. Rodney K. Singleton
6. Liang Guo
7. Abdenour Soualhi
8. Chong Zhang
9. Yu Wang
10. Noureddine Zerhouni

Who trusts Biao Wang overall

1. Jinyang Jiao
2. Ming Zhao

Papers from Biao Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
6. Remaining useful life estimation - A review on the statistical data driven approaches (European Journal of Operational Research)
7. PRONOSTIA : An experimental platform for bearings accelerated degradation tests.
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings (2020) — 1,563 citations
• Deep separable convolutional network for remaining useful life prediction of machinery (2019) — 343 citations