Yanmin Gong

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Computer Networks and Communications — 36 citations into it
• Electrical and Electronic Engineering — 22 citations into it
• Privacy & Security — 16 citations into it
• Optimization & Training — 12 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Yanmin Gong trusts overall

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

1. Cynthia Dwork
2. Shai Shalev-Shwartz
3. Gesualdo Scutari
4. Xiaoyan Hu
5. Ilya Mironov
6. Yanting Wang

Papers from Yanmin Gong's perspective

Ordered by how strongly the researchers Yanmin Gong 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. Deep Learning with Differential Privacy
7. Differentially Private Empirical Risk Minimization
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Membership Inference Attacks Against Machine Learning Models

Their papers

• Personalized Federated Learning With Differential Privacy (2020) — 325 citations
• Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing (2020) — 325 citations
• DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy (2018) — 236 citations