Housen Li

Computational Mechanics · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 14 citations into it
• Biomedical Engineering — 13 citations into it
• Radiology, Nuclear Medicine and Imaging — 10 citations into it
• Mathematical Physics — 9 citations into it

Whom Housen Li trusts overall

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

1. Lihong V. Wang
2. Patrick L. Combettes
3. Olaf Ronneberger
4. Yaniv Romano
5. Hemant Kumar Aggarwal
6. Zhou Wang
7. Elena Resmerita
8. Otmar Scherzer
9. Michael Elad
10. Jean-Christophe Pesquet

Who trusts Housen Li overall

1. Arvid Lundervold

Papers from Housen Li's perspective

Ordered by how strongly the researchers Housen Li 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Et al
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• NETT: solving inverse problems with deep neural networks (2018) — 287 citations