Xiangrong Liu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Molecular Biology — 11 citations into it

Whom Xiangrong Liu trusts overall

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

1. Olivier Bodenreider
2. Eric J. Topol
3. Diederik P. Kingma

Papers from Xiangrong Liu's perspective

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

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Visualizing Data using t-SNE
3. Random Forests
4. Extracting semantic representations from word co-occurrence statistics: A computational study
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. High-performance medicine: the convergence of human and artificial intelligence
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning classifiers from only positive and unlabeled data
10. Deep Neural Networks for Learning Graph Representations

Their papers

• deepDR: a network-based deep learning approach to in silico drug repositioning (2019) — 460 citations