Jun Xu

Molecular Biology · with Chen · 2019

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

• Molecular Biology — 16 citations into it
• Computational Theory and Mathematics — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Jun Xu trusts overall

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

1. Sepp Hochreiter

Papers from Jun Xu's perspective

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

1. Long Short-Term Memory
2. Rectified Linear Units Improve Restricted Boltzmann Machines
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Identity Mappings in Deep Residual Networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Predicting drug–protein interaction using quasi-visual question answering system (2019) — 291 citations