Chenyuan Feng

Artificial Intelligence · 2020

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 — 7 citations into it

Whom Chenyuan Feng trusts overall

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

1. Yann LeCun
2. Ohad Shamir

Who trusts Chenyuan Feng overall

1. Dinh C. Nguyen

Papers from Chenyuan Feng's perspective

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

1. Deep Learning
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. The mnist database of handwritten digits
5. ImageNet classification with deep convolutional neural networks
6. Communication-Efficient Learning of Deep Networks from Decentralized Data
7. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends (2020) — 103 citations