Jing Lu

Artificial Intelligence · with Chang · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jing Lu trusts overall

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

  1. Noam Shazeer
  2. Geoffrey E. Hinton
  3. Jacob Devlin
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. David R. Cheriton
  7. Ilya Sutskever
  8. Alex Krizhevsky

Who trusts Jing Lu overall

  1. Luyu Gao
  2. Liang Wang
  3. John X. Morris

Papers from Jing Lu's perspective

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

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

Their papers