Jiashun Wang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiashun Wang trusts overall

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

  1. Diederik P. Kingma
  2. Gabriella Csurka
  3. Geoffrey E. Hinton
  4. Samarth Brahmbhatt
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Kaiming He
  8. Yann LeCun
  9. Max Welling
  10. Andrew T. Miller

Papers from Jiashun Wang's perspective

Ordered by how strongly the researchers Jiashun Wang 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers