Xu Min

Molecular Biology · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 20 citations into it
• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Xu Min trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Jason Ernst
6. Yoshua Bengio
7. Jimmy Ba
8. Ilya Sutskever
9. David R. Kelley
10. Timothy L. Bailey

Who trusts Xu Min overall

1. Travers Ching

Papers from Xu Min's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• DeepEnhancer: Predicting enhancers by convolutional neural networks (2016) — 40 citations
• Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding (2017) — 25 citations