Huijun Liu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Huijun Liu trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Deliang Wang
  4. Yuxuan Wang
  5. Evan Shelhamer
  6. Arun Narayanan
  7. Geoffrey E. Hinton
  8. Xugang Lu
  9. Se Rim Park
  10. Peter Vary

Who trusts Huijun Liu overall

  1. Haici Yang

Papers from Huijun Liu's perspective

Ordered by how strongly the researchers Huijun 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers