Chaoyue Liu

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 93 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Chaoyue Liu trusts overall

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

  1. Yurii E. Nesterov
  2. Diederik P. Kingma
  3. Zeyuan Allen-Zhu
  4. Kaiming He
  5. Francis R. Bach
  6. Jimmy Ba
  7. Geoffrey E. Hinton
  8. Mikhail Belkin
  9. Alex Krizhevsky
  10. Siyuan Ma

Who trusts Chaoyue Liu overall

  1. Sharan Vaswani
  2. Mahmoud Assran
  3. S. Meng
  4. Mark W. Schmidt
  5. Michael G. Rabbat
  6. Francis R. Bach
  7. Mikhail Belkin
  8. Libin Zhu
  9. Issam Hadj Laradji

Papers from Chaoyue Liu's perspective

Ordered by how strongly the researchers Chaoyue Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers