Yingxue Zhou

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Optimization & Training — 18 citations into it
• Privacy & Security — 13 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Yingxue Zhou trusts overall

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

1. Cynthia Dwork
2. Raef Bassily
3. Alex Krizhevsky
4. Vitaly Feldman
5. Kunal Talwar
6. Chih-Jen Lin
7. Martín Abadi
8. Yann LeCun
9. Diederik P. Kingma
10. Abhradeep Thakurta

Who trusts Yingxue Zhou overall

1. Natalia Ponomareva
2. Florian Tramèr

Papers from Yingxue Zhou's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification (2020) — 122 citations
• Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds (2020) — 31 citations