Jia Liu

Artificial Intelligence · with Toubia · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Liu trusts overall

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

  1. David M. Blei
  2. Dan Jurafsky
  3. David Mimno
  4. Christophe Andrieu
  5. Carson Sievert
  6. Przemyslaw Jeziorski
  7. Michael I. Jordan
  8. Andrew Gelman
  9. T. Griffiths
  10. Jagadeesh Jagarlamudi

Papers from Jia Liu's perspective

Ordered by how strongly the researchers Jia 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers