Teng Wang

Artificial Intelligence · with Zhao · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Privacy & Security — 37 citations into it
• Computer Science Applications — 17 citations into it
• Statistics and Probability — 14 citations into it

Whom Teng Wang trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. John C. Duchi
4. Tianhao Wang
5. Ú. Erlingsson
6. Marco Gaboardi
7. Mark Bun
8. Bolin Ding
9. Shiva Prasad Kasiviswanathan
10. Kobbi Nissim

Papers from Teng Wang's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Randomized response: a survey technique for eliminating evasive answer bias.
7. Learning Multiple Layers of Features from Tiny Images
8. Differentially Private Empirical Risk Minimization
9. Deep Learning with Differential Privacy
10. The Algorithmic Foundations of Differential Privacy

Their papers

• Local Differential Privacy-Based Federated Learning for Internet of Things (2020) — 414 citations
• Locally Differentially Private Data Collection and Analysis (2019) — 13 citations