Yuhan Liu

Artificial Intelligence · with Acharya · 2020

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #27,360 of 35,345 by trust here, #32,362 by citations
• Statistics and Probability — 23 citations into it; #10,167 of 12,932 by trust here, #12,077 by citations
• Privacy & Security — 22 citations into it
• Statistical Learning Theory — 9 citations into it
• Computer Networks and Communications — 8 citations into it
• Electrical and Electronic Engineering — 8 citations into it; #10,994 of 16,539 by trust here, #16,053 by citations
• Information Theory — 7 citations into it
• Computer Science Applications — 5 citations into it

Whom Yuhan Liu trusts overall

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

1. Jayadev Acharya
2. Cynthia Dwork
3. Bin Yu
4. Frank Den Hollander
5. John C. Duchi
6. Yanjun Han
7. Ziteng Sun
8. Ilias Diakonikolas
9. Dietrich Braess
10. Peter Kairouz

Who trusts Yuhan Liu overall

1. Wei-Ning Chen

Papers from Yuhan Liu's perspective

Ordered by how strongly the researchers Yuhan Liu 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. Calibrating Noise to Sensitivity in Private Data Analysis
4. Gradient-based learning applied to document recognition
5. Local Privacy and Statistical Minimax Rates
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. What Can We Learn Privately?

Their papers

• Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints (2020) — 5 citations
• Learning discrete distributions: user vs item-level privacy (2020) — 60 citations