Jialin Liu

Artificial Intelligence · with Chen · 2007–2021

A researcher in the Science corpus: 5 papers; trusts 101 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jialin Liu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Sergey Ioffe
  8. Kai Zhang
  9. Yann LeCun
  10. Christian Szegedy

Who trusts Jialin Liu overall

  1. Kevin Guelton
  2. Luyu Gao
  3. Sheng-Chieh Lin
  4. Jimmy J. Lin
  5. Chong Mou

Papers from Jialin Liu's perspective

Ordered by how strongly the researchers Jialin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers