Zhongyuan Zhao

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Zhongyuan Zhao trusts overall

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

1. Yann LeCun
2. Ohad Shamir
3. Yue Zhao
4. Tong Zhang
5. Corinna Cortes
6. Mugen Peng

Who trusts Zhongyuan Zhao overall

1. Dinh C. Nguyen
2. Howard H. Yang
3. Ming Ding

Papers from Zhongyuan Zhao's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends (2020) — 103 citations
• System architecture and key technologies for 5G heterogeneous cloud radio access networks (2014) — 447 citations