Shenghua Liu

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shenghua Liu trusts overall

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

  1. Yehuda Koren
  2. Diederik P. Kingma
  3. Tomas Mikolov
  4. Thomas Hofmann
  5. William W. Cohen
  6. Alec Radford
  7. Ilya Sutskever
  8. Geoffrey E. Hinton
  9. Jimmy Ba
  10. Yoshua Bengio

Who trusts Shenghua Liu overall

  1. Qingsong Wen
  2. Lijun Sun
  3. Jiehui Xu
  4. Kukjin Choi

Papers from Shenghua Liu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers