Bei Yu

Artificial Intelligence · with Ma · 2008–2021

A researcher in the Science corpus: 4 papers; trusts 130 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 75 citations into it; #28,377 of 35,345 by trust here, #25,809 by citations
• Computer Vision and Pattern Recognition — 71 citations into it
• Efficiency & Compression — 35 citations into it
• Model Architectures — 20 citations into it
• Computer Networks and Communications — 9 citations into it
• Natural Language Processing — 7 citations into it; #3,897 of 5,688 by trust here, #5,593 by citations

Whom Bei Yu trusts overall

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

1. Thorsten Joachims
2. Fabrizio Sebastiani
3. Naoki Shibata
4. Andrew McCallum
5. Geoffrey E. Hinton
6. Patrick Juola
7. Susan T. Dumais
8. Kaiming He
9. Yann LeCun
10. Alex Krizhevsky

Who trusts Bei Yu overall

1. Yang Trista Cao
2. Burt L. Monroe
3. Hal Daumé Iii
4. Michael Colaresi

Papers from Bei Yu's perspective

Ordered by how strongly the researchers Bei Yu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Going deeper with convolutions
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Classifying Party Affiliation from Political Speech (2008) — 167 citations
• Machine Learning for Electronic Design Automation: A Survey (2021) — 346 citations
• Recent Advances in Convolutional Neural Network Acceleration (2018) — 382 citations
• Function Words for Chinese Authorship Attribution (2012) — 16 citations