Hong Qian

Artificial Intelligence · with Hu · 2016–2022

A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Qian trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Vladimir Naumovich Vapni
  5. Kaiming He
  6. Yann LeCun
  7. Alex Krizhevsky
  8. R´emi Munos
  9. Ilya Sutskever
  10. Sepp Hochreiter

Who trusts Hong Qian overall

  1. Yi-Qi Hu
  2. Yang Yu
  3. Wang-Zhou Dai

Papers from Hong Qian's perspective

Ordered by how strongly the researchers Hong Qian 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers