Xun Chen

Artificial Intelligence · with Qian · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #28,588 of 35,345 by trust here, #31,361 by citations
• Privacy & Security — 13 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Federated & Distributed Learning — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Xun Chen trusts overall

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

1. John C. Duchi
2. Alex Krizhevsky
3. Emanuel Parzen
4. Yann LeCun
5. Karen Simonyan
6. Cynthia Dwork
7. H. Brendan McMahan
8. Michael I. Jordan
9. Ú. Erlingsson
10. Geoffrey E. Hinton

Who trusts Xun Chen overall

1. Lichao Sun

Papers from Xun Chen's perspective

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

1. Gradient-based learning applied to document recognition
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Et al
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy (2020) — 278 citations