Wei-Ning Chen

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 52 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 90 citations into it; #22,634 of 35,345 by trust here, #26,682 by citations
• Privacy & Security — 48 citations into it; #496 of 709 by trust here, #642 by citations
• Statistics and Probability — 35 citations into it
• Computer Networks and Communications — 17 citations into it
• Electrical and Electronic Engineering — 16 citations into it
• Computational Mechanics — 15 citations into it
• Optimization & Training — 15 citations into it
• Information Theory — 13 citations into it

Whom Wei-Ning Chen trusts overall

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

1. Jayadev Acharya
2. Cynthia Dwork
3. Peter Kairouz
4. Yanjun Han
5. Leighton Pate Barnes
6. Ú. Erlingsson
7. John C. Duchi
8. Raef Bassily
9. Ayfer Özgür
10. Kobbi Nissim

Who trusts Wei-Ning Chen overall

1. Vitaly Feldman
2. Peter Kairouz
3. Badih Ghazi
4. Ayfer Özgür
5. Kunal Talwar
6. Ravi Kumar
7. Ghadir Ayache
8. Yanjun Han

Papers from Wei-Ning Chen's perspective

Ordered by how strongly the researchers Wei-Ning Chen 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Calibrating Noise to Sensitivity in Private Data Analysis
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Breaking the Communication-Privacy-Accuracy Trilemma (2020) — 139 citations
• Breaking The Dimension Dependence in Sparse Distribution Estimation under Communication Constraints (2021) — 11 citations
• Differentially Private Federated Learning: An Information-Theoretic Perspective (2021) — 31 citations
• Fisher Information Under Local Differential Privacy (2020) — 60 citations