Chuan Xu

Artificial Intelligence · with Neglia · 2020

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it; #35,319 of 35,345 by trust here, #26,682 by citations
• Optimization & Training — 41 citations into it
• Computer Networks and Communications — 36 citations into it
• ML Systems & Hardware — 21 citations into it
• Federated & Distributed Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Chuan Xu trusts overall

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

1. Angelia Nedić
2. Kaiming He
3. Jianyu Wang
4. Yann LeCun
5. Alex Krizhevsky
6. John C. Duchi
7. Geoffrey E. Hinton
8. Xiangru Lian
9. Yoshua Bengio
10. H. Brendan McMahan

Who trusts Chuan Xu overall

1. Qinbin Li
2. Khaled Ben Letaief

Papers from Chuan Xu's perspective

Ordered by how strongly the researchers Chuan 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. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Throughput-Optimal Topology Design for Cross-Silo Federated Learning (2020) — 113 citations
• Decentralized gradient methods: does topology matter? (2020) — 67 citations