Jiahuan Luo

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Federated & Distributed Learning — 20 citations into it
• Privacy & Security — 18 citations into it

Whom Jiahuan Luo trusts overall

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

1. Kaiming He
2. H. Brendan McMahan
3. Shaoqing Ren
4. Alex Krizhevsky
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Yang Liu
8. Cynthia Dwork
9. Karen Simonyan
10. Yoshua Bengio

Who trusts Jiahuan Luo overall

1. Yue Tan
2. Guodong Long

Papers from Jiahuan Luo's perspective

Ordered by how strongly the researchers Jiahuan Luo 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Self-supervised Cross-silo Federated Neural Architecture Search (2021) — 21 citations
• Real-World Image Datasets for Federated Learning (2019) — 111 citations