Yanfeng Li

Control and Systems Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 13 citations into it
• Artificial Intelligence — 9 citations into it
• Mechanical Engineering — 6 citations into it
• Mechanics of Materials — 5 citations into it
• Optimization & Training — 5 citations into it
• Safety, Risk, Reliability and Quality — 5 citations into it

Whom Yanfeng Li trusts overall

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

1. Paul J. Werbos
2. Iroon Polytechniou
3. Diederik P. Kingma
4. Xavier Glorot
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Jason Deutsch
8. Nitish Srivastava
9. Andrew M. Saxe

Papers from Yanfeng Li's perspective

Ordered by how strongly the researchers Yanfeng Li 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. Dropout: a simple way to prevent neural networks from overfitting
5. Gradient-based learning applied to document recognition
6. Understanding the difficulty of training deep feedforward neural networks
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions (2019) — 402 citations