Zhendong Niu

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 154 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhendong Niu trusts overall

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

  1. Robin D. Burke
  2. Michael J. Pazzani
  3. Kaiming He
  4. Karen Simonyan
  5. Gediminas Adomavicius
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Janet Mannheimer Zydney
  9. Ilya Sutskever
  10. Nikos Manouselis

Papers from Zhendong Niu's perspective

Ordered by how strongly the researchers Zhendong Niu 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers