Jing Zhou

Artificial Intelligence · with Zhang · 2016–2026

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Zhou trusts overall

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

  1. Timo Schick
  2. Leo Breiman
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Jacob Devlin
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Hinrich Schütze
  10. Yann LeCun

Who trusts Jing Zhou overall

  1. Xiao Liu

Papers from Jing Zhou's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers