Pei Zhou

Artificial Intelligence · with Ren · 2019–2021

A researcher in the Science corpus: 8 papers; trusts 184 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Pei Zhou trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alec Radford
  6. Jacob Devlin
  7. Alex Krizhevsky
  8. Chin-Yew Lin
  9. Kaiming He
  10. Yann LeCun

Who trusts Pei Zhou overall

  1. Karthik Gopalakrishnan
  2. Gauri Gupta
  3. Xiang Ren
  4. Ninareh Mehrabi
  5. Chenguang Zhu
  6. Jieyu Zhao
  7. Xisen Jin
  8. Behnam Hedayatnia
  9. Emily Sheng
  10. Jay Pujara

Papers from Pei Zhou's perspective

Ordered by how strongly the researchers Pei Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Gradient-based learning applied to document recognition

Their papers