Yunzhe Liu

Cognitive Neuroscience · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yunzhe Liu trusts overall

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

  1. György Buzsáki
  2. David J. Foster
  3. Matthew A. Wilson
  4. Howard Eichenbaum
  5. George Dragoi
  6. James J. Knierim
  7. Edvard I. Moser
  8. Matthew Botvinick
  9. William E. Skaggs
  10. Irina Higgins

Papers from Yunzhe Liu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
  5. Replay of Neuronal Firing Sequences in Rat Hippocampus During Sleep Following Spatial Experience
  6. Forward and reverse hippocampal place-cell sequences during ripples
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Hippocampal replay of extended experience
  9. Reverse replay of behavioural sequences in hippocampal place cells during the awake state
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers