Hong Liu

Artificial Intelligence · International Conference on Learning Representations · 2019–2024

A researcher in the Science corpus: 5 papers; trusts 424 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Liu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Ross B. Girshick
  10. L. Eon Bottou

Who trusts Hong Liu overall

  1. Mehdi Abbana Bennani
  2. Jian Liang
  3. Mengzhou Xia
  4. Xingjian Li
  5. Jogendra Nath Kundu
  6. Zhibin Zhao
  7. Masashi Sugiyama
  8. Dapeng Hu
  9. Tianyu Gao

Papers from Hong Liu's perspective

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

Their papers