Jing Wen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Wen trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ross B. Girshick

Papers from Jing Wen's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. ImageNet: A large-scale hierarchical image database

Their papers