Huafeng Liu

Information Systems · with Zhang · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huafeng Liu trusts overall

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

  1. Behnoush Abdollahi
  2. Benjamin M. Marlin
  3. Yehuda Koren
  4. Julian McAuley
  5. Ruslan Salakhutdinov
  6. Olfa Nasraoui
  7. José Miguel Hernández-Lobato
  8. Santosh Kabbur
  9. J. Konstan
  10. Geoffrey E. Hinton

Papers from Huafeng Liu's perspective

Ordered by how strongly the researchers Huafeng 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers