Li Cheng

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Li Cheng trusts overall

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

1. Yann LeCun
2. J. Urgen Schmidhuber
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Kaiming He

Papers from Li Cheng's perspective

Ordered by how strongly the researchers Li Cheng 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Visualizing and Understanding Convolutional Networks

Their papers

• WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis (2019) — 515 citations