Zheng Chai

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it

Whom Zheng Chai trusts overall

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

1. H. Brendan McMahan
2. Martín Abadi
3. Sebastian Caldas
4. Reza Shokri
5. Jakub Konecný
6. Keith Bonawitz
7. Robin C. Geyer
8. Milad Nasr
9. Han Xiao
10. Amos Beimel

Who trusts Zheng Chai overall

1. Yujing Chen
2. Mang Ye
3. Sawsan AbdulRahman
4. Yue Ning

Papers from Zheng Chai's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• TiFL: A Tier-based Federated Learning System (2020) — 370 citations
• Towards Taming the Resource and Data Heterogeneity in Federated Learning (2019) — 94 citations