Zheng Ye

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Zheng Ye trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Jason Aaron Edward Weston
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Jacob Devlin
  8. Dzmitry Bahdanau
  9. Yann LeCun
  10. Kaiming He

Who trusts Zheng Ye overall

  1. Shuohang Wang
  2. Jinlan Fu
  3. Jing Jiang
  4. Adam Trischler
  5. Jonathan Raiman
  6. Rudolf Kadlec
  7. Mo Yu
  8. Haichao Zhu
  9. Qiu Ran
  10. See-Kiong Ng

Papers from Zheng Ye's perspective

Ordered by how strongly the researchers Zheng Ye 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers