Yue Yu

Artificial Intelligence · with Wang · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Yu trusts overall

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

  1. David Maxwell Chickering
  2. Diederik P. Kingma
  3. Tom L. Burr
  4. Ioannis Tsamardinos
  5. Jiji Zhang
  6. James Cussens
  7. Max Welling
  8. Thomas Kipf
  9. David E. Heckerman
  10. Geoffrey E. Hinton

Who trusts Yue Yu overall

  1. Sébastien Lachapelle
  2. Philippe Brouillard
  3. Matthew James Vowels
  4. Chao Shang
  5. Chris Cundy
  6. Ignavier Ng
  7. Lars Lorch
  8. Xun Zheng
  9. Jonas Rothfuss
  10. Mengyue Yang

Papers from Yue Yu's perspective

Ordered by how strongly the researchers Yue 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers