Yaoqin Xie

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Radiology, Nuclear Medicine and Imaging — 14 citations into it
• Biomedical Engineering — 12 citations into it
• Artificial Intelligence — 11 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Yaoqin Xie trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Robert Hecht-Nielsen
4. Sergey Ioffe
5. Geoffrey E. Hinton

Papers from Yaoqin Xie's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Densely Connected Convolutional Networks
6. Gradient-based learning applied to document recognition
7. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
8. ImageNet: A large-scale hierarchical image database
9. Identity Mappings in Deep Residual Networks
10. Long Short-Term Memory

Their papers

• A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution (2018) — 431 citations