Rong Yuan

Computer Vision and Pattern Recognition · with Zhang · 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

• Computer Vision and Pattern Recognition — 10 citations into it

Whom Rong Yuan trusts overall

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

1. Alex Graves

Papers from Rong Yuan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Generating Sequences With Recurrent Neural Networks
8. WaveNet: A Generative Model for Raw Audio
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Speech recognition with deep recurrent neural networks

Their papers

• Multi-Horizon Time Series Forecasting with Temporal Attention Learning (2019) — 235 citations