Minghua Xu

Computer Vision and Pattern Recognition · with Chen · 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 Minghua Xu trusts overall

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

1. Alex Krizhevsky

Papers from Minghua Xu's perspective

Ordered by how strongly the researchers Minghua Xu 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. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
6. Communication-Efficient Learning of Deep Networks from Decentralized Data
7. ImageNet classification with deep convolutional neural networks
8. On the Convergence of FedAvg on Non-IID Data
9. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
10. Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization

Their papers

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