Zhaomin Wu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 176 citations into it
• Federated & Distributed Learning — 69 citations into it
• Privacy & Security — 45 citations into it
• Optimization & Training — 25 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Efficiency & Compression — 11 citations into it
• ML Systems & Hardware — 11 citations into it

Whom Zhaomin Wu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yann LeCun
5. Diederik P. Kingma
6. Kaiming He
7. Ilya Sutskever
8. Ross B. Girshick
9. H. Brendan McMahan
10. Ian J. Goodfellow

Papers from Zhaomin Wu's perspective

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

Their papers

• A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection (2019) — 1,461 citations