Quande Liu

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 132 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Quande Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Sergey Ioffe
  3. Alex Krizhevsky
  4. Kaiming He
  5. Christian Szegedy
  6. Yoshua Bengio
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Qi-Yan Dou
  10. Da Li

Who trusts Quande Liu overall

  1. Mingxia Liu
  2. Xiaoxiao Li
  3. Jindong Wang
  4. Cheng Chen

Papers from Quande Liu's perspective

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

Their papers