Xiaoyu Qiu

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 132 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Model Architectures — 17 citations into it
• Neural Architecture Search & AutoML — 11 citations into it
• Natural Language Processing — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Xiaoyu Qiu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Alex Krizhevsky
5. Karen Simonyan
6. Yann LeCun
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ross B. Girshick
10. Richard Socher

Papers from Xiaoyu Qiu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Sentiment Analysis of Comment Texts Based on BiLSTM (2019) — 529 citations
• NAS-Unet: Neural Architecture Search for Medical Image Segmentation (2019) — 434 citations