Yingwen Chen

Computer Vision and Pattern Recognition · 2022

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

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it

Whom Yingwen Chen trusts overall

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

1. Alex Krizhevsky

Papers from Yingwen Chen's perspective

Ordered by how strongly the researchers Yingwen Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Learning Multiple Layers of Features from Tiny Images
4. GradientBased Learning Applied to Document Recognition
5. ImageNet classification with deep convolutional neural networks
6. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction (2022) — 423 citations