Qinghua Lu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Qinghua Lu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun

Papers from Qinghua Lu's perspective

Ordered by how strongly the researchers Qinghua Lu 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. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Prototypical Networks for Few-shot Learning
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Visualizing Data using t-SNE
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• FedProto: Federated Prototype Learning across Heterogeneous Clients (2021) — 940 citations