Huanbo Luan

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 12 papers; trusts 390 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Huanbo Luan trusts overall

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

  1. Yoshua Bengio
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yann LeCun
  8. Tomas Mikolov
  9. Richard Socher
  10. Oriol Vinyals

Who trusts Huanbo Luan overall

  1. Baoxu Shi
  2. Xiangnan He
  3. Felix Stahlberg
  4. Yonatan Belinkov
  5. Han Xiao
  6. Mikel Artetxe
  7. Liang Yao
  8. Tim Weninger
  9. Zhiyuan Liu
  10. Lei Yu

Papers from Huanbo Luan's perspective

Ordered by how strongly the researchers Huanbo Luan 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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