Xinchi Qiu

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Federated & Distributed Learning — 24 citations into it
• Optimization & Training — 12 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Signal Processing — 8 citations into it

Whom Xinchi Qiu trusts overall

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

1. H. Brendan McMahan
2. Pete Warden
3. Kaiming He
4. Jakub Konecný
5. Alex Krizhevsky
6. Yann LeCun
7. Geoffrey E. Hinton
8. Suyoun Kim
9. Olga Russakovsky
10. Sashank J. Reddi

Who trusts Xinchi Qiu overall

1. Carole-Jean Wu

Papers from Xinchi Qiu's perspective

Ordered by how strongly the researchers Xinchi Qiu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Flower: A Friendly Federated Learning Research Framework (2020) — 1,331 citations
• A first look into the carbon footprint of federated learning (2020) — 122 citations