Liang Qiu

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 5 papers; trusts 188 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Liang Qiu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Ross B. Girshick
  9. Ronald J. Williams
  10. Sepp Hochreiter

Who trusts Liang Qiu overall

  1. Pan Lu
  2. Renrui Zhang
  3. Wenhu Chen
  4. Jiaming Han
  5. Ziniu Hu
  6. Peng Gao

Papers from Liang Qiu's perspective

Ordered by how strongly the researchers Liang Qiu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers