Peng Zhou

Artificial Intelligence · with Xu · 2005–2023

A researcher in the Science corpus: 6 papers; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Peng Zhou trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Graves
  4. Sepp Hochreiter
  5. Richard Socher
  6. Yann LeCun
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Matthew D. Zeiler
  10. Tomas Mikolov

Who trusts Peng Zhou overall

  1. Yuan Luo
  2. Yuhao Zhang
  3. Jing Qian
  4. Qian Li
  5. Kanika Narang
  6. Maximin Coavoux
  7. Shervin Minaee
  8. Roy Schwartz
  9. Alessandro Raganato
  10. Yi Wu

Papers from Peng Zhou's perspective

Ordered by how strongly the researchers Peng Zhou 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers