Minwei Ye

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #18,805 of 35,345 by trust here, #21,316 by citations
• Computational Mechanics — 8 citations into it
• Optimization & Training — 6 citations into it
• Privacy & Security — 6 citations into it

Whom Minwei Ye trusts overall

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

1. Cynthia Dwork
2. Zeyuan Allen-Zhu
3. Yurii E. Nesterov
4. Kamalika Chaudhuri
5. Claire Monteleoni
6. Adam D. Smith
7. Frank McSherry
8. Kobbi Nissim
9. Abhradeep Thakurta
10. Kunal Talwar

Who trusts Minwei Ye overall

1. Jaewoo Lee
2. Bargav Jayaraman
3. Di Wang
4. Shahab Asoodeh
5. Zonghao Huang

Papers from Minwei Ye's perspective

Ordered by how strongly the researchers Minwei Ye 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. Calibrating Noise to Sensitivity in Private Data Analysis
5. Learning Multiple Layers of Features from Tiny Images
6. Differentially Private Empirical Risk Minimization
7. Deep Learning with Differential Privacy
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Boosting and Differential Privacy

Their papers

• Differentially Private Empirical Risk Minimization Revisited: Faster and More General (2018) — 297 citations