Xiangfeng Zhu

Artificial Intelligence · 2021

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 — 63 citations into it
• Federated & Distributed Learning — 26 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it

Whom Xiangfeng Zhu trusts overall

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

1. Kaiming He
2. Ziteng Sun
3. Mingqing Chen
4. Mark Sandler

Papers from Xiangfeng Zhu's perspective

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

Their papers

• FedScale: Benchmarking Model and System Performance of Federated Learning at Scale (2021) — 302 citations
• FedScale: Benchmarking Model and System Performance of Federated Learning (2021) — 79 citations