Rong Xu

Computational Theory and Mathematics · with Wang · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 12 citations into it; #5,895 of 12,182 by trust here, #10,349 by citations
• Pharmacology — 5 citations into it; #220 of 1,112 by trust here, #1,031 by citations

Whom Rong Xu trusts overall

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

1. Daniel Klein
2. Monica Campillos
3. Mark A. Hall
4. David S. Wishart
5. Christopher D. Manning
6. Michael Kuhn
7. Corinna Cortes
8. Eibe Frank
9. Guanghui Hu
10. Craig Knox

Who trusts Rong Xu overall

1. Fei Li
2. Michael Kuhn
3. Meishan Zhang
4. Ivica Letunic
5. Donghong Ji
6. Lars Juhl Jensen

Papers from Rong Xu's perspective

Ordered by how strongly the researchers Rong Xu 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Accurate Unlexicalized Parsing
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Automatic construction of a large-scale and accurate drug-side-effect association knowledge base from biomedical literature (2014) — 56 citations