Changchang Liu

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Changchang Liu trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Geoffrey E. Hinton
  4. Daniel Kifer
  5. L. Eon Bottou
  6. Yoshua Bengio
  7. Ashwin Machanavajjhala
  8. Alex Krizhevsky
  9. T. J. Watson
  10. Yann LeCun

Who trusts Changchang Liu overall

  1. Chong Huang
  2. Binghui Wang
  3. Peter Kairouz
  4. Jiachun Liao
  5. Seyed Ali Ossia
  6. Lalitha Sankar
  7. Xiao Chen
  8. Supriyo Chakraborty
  9. Neil Zhenqiang Gong
  10. Le Zhang

Papers from Changchang Liu's perspective

Ordered by how strongly the researchers Changchang 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  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