Yao Xuan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #27,613 of 35,345 by trust here, #11,750 by citations
• Time-Series & Forecasting — 8 citations into it; #318 of 381 by trust here, #56 by citations

Whom Yao Xuan trusts overall

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

1. Alex Graves
2. Ilya Sutskever
3. Nicolas Chapados

Who trusts Yao Xuan overall

1. Tian Zhou
2. Haixu Wu
3. Gerald Woo

Papers from Yao Xuan's perspective

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

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Generating Sequences With Recurrent Neural Networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. On the difficulty of training recurrent neural networks
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (2019) — 1,983 citations