Siyuan Zhang

Artificial Intelligence · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Siyuan Zhang trusts overall

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

1. Burr Settles
2. Uriel Feige

Papers from Siyuan Zhang's perspective

Ordered by how strongly the researchers Siyuan Zhang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Fully convolutional networks for semantic segmentation
4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Active Learning Literature Survey
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation (2017) — 560 citations