Ying Zhao

Artificial Intelligence · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Privacy & Security — 12 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Sociology and Political Science — 9 citations into it
• Computer Science Applications — 6 citations into it
• Natural Language Processing — 6 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ying Zhao trusts overall

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

1. Tomas Mikolov
2. Frank McSherry
3. Cynthia Dwork
4. Jihun Hamm
5. Alex Graves
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. John C. Duchi
9. Yoshua Bengio
10. Aleksandra Korolova

Papers from Ying Zhao's perspective

Ordered by how strongly the researchers Ying 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey on Differential Privacy for Unstructured Data Content (2022) — 328 citations