Hui Liu

Artificial Intelligence · with Liu · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 117 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Yann LeCun
  7. Kaiming He
  8. Ian J. Goodfellow
  9. Jimmy Ba
  10. Christian Szegedy

Who trusts Hui Liu overall

  1. Eric Michael Smith
  2. Emily Sheng
  3. Haochen Liu

Papers from Hui Liu's perspective

Ordered by how strongly the researchers Hui Liu 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers