Jiachang Liu

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jiachang Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Alec Radford
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Richard Socher
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Kaiming He
  10. Alex Graves

Who trusts Jiachang Liu overall

  1. Xi Ye
  2. Aman Madaan
  3. Greg Durrett
  4. Q. Liao
  5. Panupong Pasupat
  6. Qingxiu Dong
  7. Disha Shrivastava
  8. Ce Zheng
  9. Or Honovich
  10. Nora Kassner

Papers from Jiachang Liu's perspective

Ordered by how strongly the researchers Jiachang Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers