Zhiquan Ye

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 124 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Zhiquan Ye trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Richard Socher
  7. Oriol Vinyals
  8. Daojian Zeng
  9. Yann LeCun
  10. Nitish Srivastava

Who trusts Zhiquan Ye overall

  1. Lingfeng Zhong
  2. Hoang Nguyen
  3. Jia Wu
  4. Chenwei Zhang
  5. Qian Li
  6. Congying Xia

Papers from Zhiquan Ye's perspective

Ordered by how strongly the researchers Zhiquan 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers