Chang Shu

Artificial Intelligence · with Zhang · 2021

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

Subfields

Whom Chang Shu trusts overall

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

  1. Wenhu Chen
  2. Ashish Vaswani
  3. Hamza Harkous
  4. Bryan McCann
  5. Zhiyu Chen
  6. Geoffrey E. Hinton
  7. Wojciech Kryscinski
  8. Richard Socher
  9. Nitish Shirish Keskar
  10. Yoshua Bengio

Papers from Chang Shu's perspective

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

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

Their papers