Huanyu Zhang

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 80 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 169 citations into it; #8,182 of 35,345 by trust here, #11,327 by citations
• Privacy & Security — 96 citations into it; #324 of 709 by trust here, #394 by citations
• Statistics and Probability — 64 citations into it; #7,178 of 12,932 by trust here, #5,481 by citations
• Computational Theory and Mathematics — 34 citations into it
• Computer Science Applications — 25 citations into it; #590 of 1,855 by trust here, #686 by citations
• Safety, Robustness & Interpretability — 24 citations into it
• Statistical Learning Theory — 18 citations into it
• Algorithms & Complexity — 15 citations into it

Whom Huanyu Zhang trusts overall

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

1. Cynthia Dwork
2. Mark Bun
3. Jayadev Acharya
4. Kobbi Nissim
5. Adam D. Smith
6. Liam Paninski
7. Moritz Hardt
8. Salil P. Vadhan
9. Frank McSherry
10. Ilias Diakonikolas

Who trusts Huanyu Zhang overall

1. Jayadev Acharya
2. Gautam Kamath
3. Ziteng Sun
4. Ananda Theertha Suresh
5. Tianhao Wang
6. Clément Louis Canonne
7. Yuhan Liu
8. Thomas B. Berrett
9. Badih Ghazi
10. Wei-Ning Chen

Papers from Huanyu Zhang's perspective

Ordered by how strongly the researchers Huanyu Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Revealing information while preserving privacy
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Local Privacy and Statistical Minimax Rates

Their papers

• Differentially Private Testing of Identity and Closeness of Discrete Distributions (2017) — 83 citations
• Communication Efficient, Sample Optimal, Linear Time Locally Private Discrete Distribution Estimation (2018) — 26 citations
• INSPECTRE: Privately Estimating the Unseen (2018) — 23 citations
• Differentially Private Assouad, Fano, and Le Cam (2020) — 76 citations
• Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data (2019) — 26 citations
• Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication (2018) — 173 citations