Jie Xu

Artificial Intelligence · 2 papers · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it
• Federated & Distributed Learning — 42 citations into it
• Optimization & Training — 14 citations into it

Whom Jie Xu trusts overall

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

1. H. Brendan McMahan
2. Peter Richtárik
3. Jakub Konecný
4. Otkrist Gupta
5. Geoffrey E. Hinton
6. Virginia Smith
7. Reza Shokri
8. Alex Krizhevsky
9. Li Huang
10. Cynthia Dwork

Who trusts Jie Xu overall

1. Binhang Yuan
2. Liangqi Yuan
3. Yue Tan
4. Guodong Long
5. Qiong Wu

Papers from Jie Xu's perspective

Ordered by how strongly the researchers Jie Xu 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection. (2023) — 670 citations
• Federated Learning for Healthcare Informatics (2019) — 1,462 citations