Jianze Liang

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jianze Liang trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Rico Sennrich
  6. Ronald J. Williams
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Arun Mallya
  10. Jimmy Ba

Who trusts Jianze Liang overall

  1. Kevin Yang
  2. Ruibo Liu
  3. Kalpesh Krishna
  4. Mirac Suzgun
  5. Zhiqiang Hu
  6. Akhilesh Sudhakar
  7. Xinyao Ma
  8. Leo Laugier
  9. Ashish Sharma

Papers from Jianze Liang's perspective

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

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

Their papers