Baoping Tang

Control and Systems Engineering · 2012–2020

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 26 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Mechanical Engineering — 15 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Baoping Tang trusts overall

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

1. Kaiming He
2. Sergey Ioffe
3. X. Zhang
4. Christian Szegedy
5. Shaoqing Ren
6. Geoffrey E. Hinton
7. Yann LeCun
8. Alex Krizhevsky
9. Yoshua Bengio
10. David L. Donoho

Papers from Baoping Tang's perspective

Ordered by how strongly the researchers Baoping Tang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Residual Shrinkage Networks for Fault Diagnosis (2020) — 1,184 citations
• Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes (2018) — 331 citations
• A novel wind turbine fault diagnosis method based on intergral extension load mean decomposition multiscale entropy and least squares support vector machine (2018) — 89 citations
• Bearing remaining useful life estimation based on time–frequency representation and supervised dimensionality reduction (2016) — 104 citations
• Vibration signal component separation by iteratively using basis pursuit and its application in mechanical fault detection (2013) — 65 citations
• An improved stochastic subspace identification for operational modal analysis (2012) — 89 citations