Yue Lin

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Speech & Audio — 12 citations into it
• Signal Processing — 10 citations into it

Whom Yue Lin trusts overall

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

1. Aäron van den Oord
2. Yu-An Chung
3. Christophe Veaux
4. Ryosuke Sonobe
5. Oriol Vinyals
6. Geoffrey E. Hinton
7. Oliver Watts
8. Diederik P. Kingma
9. Yoshua Bengio
10. Yuxuan Wang

Papers from Yue Lin's perspective

Ordered by how strongly the researchers Yue Lin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Going deeper with convolutions
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results (2020) — 43 citations
• Unsupervised Learning For Sequence-to-sequence Text-to-speech For Low-resource Languages (2020) — 35 citations