Ying Zhao

Artificial Intelligence · with Bowen · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ying Zhao 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 Graves
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Kaiming He
  9. Oriol Vinyals
  10. Marc'Aurelio Ranzato

Who trusts Ying Zhao overall

  1. Alexey Svyatkovskiy
  2. Maliheh Izadi
  3. F. Liu
  4. Seohyun Kim

Papers from Ying Zhao's perspective

Ordered by how strongly the researchers Ying Zhao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers