Enmao Diao

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Optimization & Training — 12 citations into it
• Federated & Distributed Learning — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 6 citations into it
• Computer Science Applications — 5 citations into it

Whom Enmao Diao trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Jimmy Ba
5. Yoshua Bengio
6. Yann LeCun
7. H. Brendan McMahan
8. Diederik P. Kingma
9. Ilya Sutskever
10. Jakub Konecný

Papers from Enmao Diao's perspective

Ordered by how strongly the researchers Enmao Diao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients (2020) — 749 citations