Chen Chen

Artificial Intelligence · with Lee · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Privacy & Security — 11 citations into it
• Optimization & Training — 8 citations into it

Whom Chen Chen trusts overall

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

1. Cynthia Dwork
2. Raef Bassily
3. Chih-Jen Lin
4. Daniel Kifer
5. Diederik P. Kingma
6. Vitaly Feldman
7. Adam D. Smith
8. Kamalika Chaudhuri
9. Stephen P. Boyd
10. Jaewoo Lee

Papers from Chen Chen's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Stochastic Adaptive Line Search for Differentially Private Optimization (2020) — 15 citations