Qiuhua Liu

Representation & Self-Supervised Learning · 2007–2009

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Qiuhua Liu trusts overall

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

  1. David John Cameron MacKay
  2. Christopher K. I. Williams
  3. Jonathan Baxter
  4. James A. Hanley
  5. Peter Müller
  6. Kamal Nigam
  7. Sebastian Thrun
  8. Theodoros Evgeniou
  9. Thorsten Joachims
  10. R. Caruana

Who trusts Qiuhua Liu overall

  1. Yu Zhang
  2. Jingrui He
  3. Qiang Yang
  4. Richard D. Lawrence
  5. Andrew Carlson
  6. Shaobo Han
  7. Xuejun Liao
  8. Dit-Yan Yeung
  9. Xiao-Lei Zhang
  10. Justin Betteridge

Papers from Qiuhua Liu's perspective

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

Their papers