Jun Liu

Artificial Intelligence · with Jiang · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yehuda Koren
  3. Diederik P. Kingma
  4. Ruslan Salakhutdinov
  5. Jimmy Ba
  6. Yoshua Bengio
  7. Kaiming He
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Julian McAuley

Who trusts Jun Liu overall

  1. Kun Zhou
  2. Gianni Brauwers
  3. Jun Xu
  4. Vojtěch Vančura

Papers from Jun Liu's perspective

Ordered by how strongly the researchers Jun 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers