Zhengzhong Liang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhengzhong Liang trusts overall

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

  1. John Edwin Laird
  2. Michael Hahn
  3. Allen Newell
  4. Ilya Sutskever
  5. Jacob Devlin
  6. Stanislas Polu
  7. Geoffrey E. Hinton
  8. Peter Clark
  9. Yoshua Bengio
  10. Diederik P. Kingma

Papers from Zhengzhong Liang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers