Rong Liu

Artificial Intelligence · with Niu · 2019

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

• Artificial Intelligence — 13 citations into it

Whom Rong Liu trusts overall

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

1. Diederik P. Kingma

Papers from Rong Liu's perspective

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

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Variational Inference with Normalizing Flows
3. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
4. A Recurrent Latent Variable Model for Sequential Data
5. Sequential Neural Models with Stochastic Layers
6. Long Short-Term Memory
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Gradient-based learning applied to document recognition

Their papers

• Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network (2019) — 1,893 citations