Yongxin Tong

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it
• Privacy & Security — 29 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Information Systems — 6 citations into it
• ML Systems & Hardware — 5 citations into it

Whom Yongxin Tong trusts overall

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

1. Thomas S. Ferguson
2. M. Franklin
3. Hyunjung Park
4. Aditya G. Parameswaran
5. Aranyak Mehta
6. Jiannan Wang
7. Payman Mohassel
8. Wenliang Du
9. Tim Kraska
10. Hector Garcia-Molina

Papers from Yongxin Tong's perspective

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

1. Deep Learning with Differential Privacy
2. A Survey on Transfer Learning
3. CrowdDB: answering queries with crowdsourcing
4. Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
5. Differential Privacy: A Survey of Results
6. SecureML: A System for Scalable Privacy-Preserving Machine Learning
7. How to play ANY mental game
8. Protocols for secure computations
9. ImageNet classification with deep convolutional neural networks
10. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy

Their papers

• Federated Machine Learning (2019) — 3,214 citations
• Online mobile Micro-Task Allocation in spatial crowdsourcing (2016) — 299 citations